International Journal of Current Research and Review
ISSN: 2231-2196 (Print)ISSN: 0975-5241 (Online)
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IJCRR - 13(2), January, 2021

Pages: 148-153

Date of Publication: 16-Jan-2021

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Automated Brain Tumour Detection using Deep Learning via Convolution Neural Networks (CNN)

Author: Sanjay Kumar, Naresh Kumar, Rishabh, Inderpreet Kaur, Vivek Keshari

Category: Healthcare

Abstract:Introduction: Brain tumours are the most known and aggressive disorder, leading to a poor lifetime at the highest level. Treatment is one of the main benefits of development that saves a life. Imagery is used to analyse the tumour in brain, lung, liver, bosom, neck, etc, through tomography, appealing reverb imagery (MRI) and ultrasound imaging. And that's it. Objective: In this study, in particular, the tumour of the mind is examined through enticing reverse imagery. The enormous amount of knowledge produced by the MRI scanner, however, at any one time obstructs the manual tumour against non-tumour order. Result: The process has had several challenges, as computations for several images are reliable. An unambiguous necessity is to increase the survival rate of the programmed order. The scheduling of the mind tumour is an incredibly problematic task in the exceptional spatial and basic fluctuation that accompanies the local brain tumour. Conclusion: In this research, a programmed exploration of mind tumours is proposed using the characterization of convolution neural networks (CNNs). The most important type of composition is the completion of the use of small pits. CNN's paper has less predictability and 97.5 accuracies.

Keywords: Magnetic Resonance Imaging, Convolution Neural networks, Deep learning, Brain Tumour, Tomography, Brain cancer

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The Brain tumour in the human body is one of the essential organs; the irregular collection of cells consists of uncontrolled cell division, which is also called a tumour. Tumours of the cerebrum fall in two. Such second rate types (rating 1 with rating 2) as well as elevated evaluation tumours (rating 3 and grade 4). Bad quality mind Favorable is said to be the tumour. Besides, the high calibre. The Malian tumour involves cells of malignancy and affects the tissues involved. The benign tumour is non-malignant, and those parts of the mind do not spread to others. Otherwise, a malignant tumour is called a lymph tumour. It brings swift passage. 12 For the most part, brain-attractive reverberation imaging is worn to identify. The tumour plus the tumour progression model procedure. Attractive reverberation imaging offers increasingly clinical image data since the CT or ultrasound image. Attractive reverberation imaging gives in mind .1-3

Tissue subtlety data on the structure and deviation from the norm of the position of the cerebrum. Scholastics have proposed different strategies for discovering mind tumours, compiling inventories with MRI images when digitizing and shipping is conceivable Clinical photos of a PC. Neural networks (CNN) and bolster vector machines (SVM) are the strategies regularly used for your grand proclamation in the late years.4 However, as of late, profound learning models (DL) rectification of a moving trend in machine learning underground architecture can effectively stand for complex relations with no the need for a great number of nodes as in surface architectures. Ex: adjacent Vector machine K-Nearest (KNN) and bolster (SVM). They grew up fast along these lines to become the best in class, not at all like that. Informatics well-being areas, such as clinical imaging, clinical computing and bioinformatics.5

Brain cancer has arisen when the cell is in-between and growing unusually. This tends to be a rough accumulation when diagnosing an observational imaging technique. Two types of brain cancer are the primary brain tumour and metastatic brain cancer. Main brain cancer is the condition while the tumour is formed in the brain and tends to remain present while the brain is metastatic.

The reason for select CT images upon MRI images be as follows:

1. CT is much easier than MRI, providing an opportunity to learn in shock luggage and other acute neurological emergencies. CT can be made available at a significantly lower price than MRI.

2. The CT container shall be obtained at a significantly lower price than the MRI.

3. CT is less responsive to continuous movement throughout the test.

4. Imaging can be performed much more easily, and CT can be safer to do in claustrophobic or extremely serious cases.

5. CT can be done at no risk to the stamina with implantable control plans, such as a cardiac pacemaker, ferromagnetic vascular clips and intestinal stimulators.

 Past research Work

The FCM segmentation of tumours and non-tumour districts shall be used. Besides, wavelets are isolated using a variety of discrete Wavelet Shift (DWT) phases. In the long run, deep neural red (DNN) is incorporated into the tumour order with incredible precision. This approach is in contrast to KNN, simple discriminate (LDA) and marginal successive streamlining (SMO) ordering techniques. Precision levels of 94.96 per cent in the DNN cerebral cancer base classification, however, the unpredictability is extremely high and the sensitivity is exceedingly poor.3 Biophysiomechanical tumour the development model is used to break down the growth of patients' tumour bit by bit. Will be used for gliomas and large tumours with incentives to achieve enormous tumour mass tests. Discreet and persistent techniques are combined for the creation of a tumour model. The proposed conspiracies offer the possibility of potentially imaging a tumour-dependent portion of the tumour in the vault-based map book. In any case, the calculation hastens. The new multi-fractal (MultiFD) involves the extraction and identification of the Gadabouts spontaneity act and the cerebral tumour fragment.6 Mind surface tumour hankie is evacuated using a MultiFD function extraction map. Improved Gadabouts characterization strategies are used to discover that the brain tissue given is a tumour or non-tumour tissue. The unpredictability of this is high. En4, for vowel image brain projection put together structure, works concerning. The work of the course is also extricated in this technique. And there is no real need for any improvement in LIPC accurate.5

A seeded tumour division strategy with new cell automation (CA) is introduced, which is contrasted and realistic cutting depending on the division technique. Seed determination and amount of suspense (VOI) shall be calculated for the successful division of the cerebral tumour. The division of the tumour region is also organized in this research. Unpredictability is very weak.7 The accuracy, however, is low. En6, the division of the mind tumour conspires. Alternate division calculation to perform High execution than the current strategy. In any case, there is a high multifaceted nature. Analysis of the division of cerebral tumours is added. Talk about different division techniques, for example, division areas, edge-based division, fluffy C represents division, Atlas-dependent division, Margo Random Field Segmentation (MRF), deformable model, deformable geometric model, precision, power, validity. En8, the determination of half-and-a-half capacity with fixed characterization applies to the mental tumour demonstrative procedure GANNIGMAC, choice.8,9 An all-encompassing tree-based methodology is used, packing C to meet the choice standards. It also deviates from the preference criteria using the determination of half and half of the functions comprising the blend (GANNIGMAC+ MRMR C + Bagging C + Decision Tree). In 9, the diffuse regulation theory is extended to order and division. The Diffuse Interference Method (DIS) is an unusual technique for mind division the controlled classification is favoured for fluffy enrollment. The execution is high and the accuracy is poor. In 10, the histogram balance is used to differentiate optimization. So fluffy Means-based division (FCM) is used to separate the tumour from the working mind image. From that point on, the Gabor utility is withdrawn from the anomaly synapses of the channel. In the long run, the haze with K is used by the closest neighbor grouping (KNN) to discover the irregularity of the desirable reverberation picture of the mind.8 The multifaceted nature is small, streaming with poor precision. Another programmed characterization of mind tumours in this work. This is achieved by the convolution of the neural network.

Literature Survey

Convolve the creation of addition to its limited neighbours near the seed of any component of the picture. This is the same as mathematical convergence. It must exist known for the sense of the medium procedure life form perform convolution, despite being similarly indicated with the example, that we keep two-three with matrix, the main one being instantly the process of flipping the sequence along with the pillar of the kernel, added to increase the shutter. The coordinate component9 in the resulting picture will be a partial grouping in which all participants join the medium panel into a discretionary appetizer base. The objective is to test downhill an illustration of the input (image-secret deposit-quantity produced medium) that falls to its dimensionality so that total rests of the type in a district scrap can be survived on the way.10 This is the implementation in the portion to help in a daydreaming form of the character more than suitable. Since the computational prices are good, by dipping the number of the study parameter plus it provides a fundamental invariance of conversion towards the interior symbol. FCN includes filled relative within a completely connected layer in the previous deposit for each activation while seeing during standard Neural Networks. Their container activations are therefore determined by a modest increase and overcome partiality. Collective weights are mainly used in two layers in the copy to use weights. This money is used to fund two separate modes with the incentive of the corresponding parameter.11 This is mainly the income that could exist in similar medium rudiments during or after different rear radiation. The specific rudiments make it simple to convert as an alternative of people on or after a solitary layer next to a single layer since they are predictable.


The human mind is placed in recognition of the structure and use of the counterfeit neural system. The neural system is mainly used for vectors, evaluation, estimation, a gathering of information, shape coordination, improvement of capacity and clustering procedures.12 The neural system is divided into three types, as indicated by its interconnections. Three characterizations of neural systems are followed by input, criticism and repetition. The Feed-Forward neural system separates further Monolayer organizing and multilayer organizing. There is no hidden layer in the monolayer set. Yet, it only includes sources of knowledge and a layer of yields.13 However it may be, the multilayer consists of a layer of information, a layer of the enclosure and a layer of yield. The closed circled input is called the red repeater.

CNN-based classification algorithm

  • Apply the convolution channel to the primary layer.

  • The channel affectability can be reduced by smoothing the Convolution channel subsampling.

  • Moving the sign happens as of one coating to another, the layer is being monitored the initiation layer.

  • Set the time frame of preparation using a direct crushing unit.

  • The neuron in the process coating is associated with each neuron in the back layer.

  • In the planning, the misfortune layer is included at the end, providing comment to the neural system (Figure 1).

The dataset provided with brain tumour features is alienated keen on two courses, which are a preparation set and a testing set, making the system in two phases. First of all, the training phase, in this process, we fit the training set of data in CNN using a feature detection modelling the Brain Tumour Prediction System18. After finishing the model making, we fit the test dataset over the model to the test process and then measure the loss value. This is the procedure for the CNN network to predict brain tumours.

System Architectural Design

Convolution Neural Network is a nourishing onward neural system to be usually worn to analyse visual imagery by dispensation data with lattice-like topology. A CNN is also recognized as a “ConvNet” In CNN each picture is represented in the shape of an array of pixel principles (Figure 2).


In the Brain Tumour using the CNN technique and test the result of a Brain tumour or Non-Brain Tumour Images are: Below are some images showing the dissimilarity amid automatic segmentation plus the real earth truth values. From the images shown below, we can see that the future model for LGG patients might notice the size, shape, size and the intra tumoural arrangement fairly exactly. Though the segmentation of tumour in LGG patients is considered as a very hard job owing to the not have of statistics, our replica for LGG patients based on move knowledge is drama quite well as tin can be seen as of the imagery underneath. Figure 3 showed two classes that are having brain tumour images and not having brain tumour images.


Finally, the lossless and segmented image and the data are available in Table 1 showing the result losses and accuracy and find the resultant data.

When the neural convolution network is implemented, the accuracy of the system is 0.8111 in the first epoch and the system loss is 0.4299. Throughout more times, the system increases its accuracy and reduces its losses by back-spreading and forward-spreading.15 In the last epoch, i.e. the 25th epoch, the accuracy of the system is as high as 1.0000 and the system losses are reduced to 3.3743e (Figure 4). The image above shows the output of the brain tumour and shows the output of the brain tumour after the compilation process. In this picture, there is not showing any defects according to the result ( Figure 5 and 6).



The fundamental goal of this thesis is to structure a highly precise, functional and ineffective programmed order of cerebral tumours. In the normal cerebrum, the tumour is grouped using the Fuzzy C Segmentation (FCM), the surface and structure, and the SVM and DNN-dependent extraction highlight the orders are made. The multifaceted complexity is very weak. In any case, the processing time is long and Accuracy is poor. Similarly, toward getting better correctness and decrease the time of measurement, a convolutions Implementation of a neural dependent grouping in the proposed plot. Besides, order the tests as predicted by the tumour or the mind.CNN is one of the deep learning strategies containing a grouping of layers for direct feed. So much Python is used for use. So many. The image is used for grouping in the net database. It's one of the models that were prepared. The preparation is finished for the last coat at this point. The rough pixel estimate with depth, width and stature values is also distinguished from CNN. Finally, the optimal angle is the average. The work of misfortune is used to achieve high accuracy. Accuracy of planning, the accuracy of approval and disasters of approval are determined. Preparation for accuracy is 97.5%. The approval quality is therefore high and the approval loss is extremely high.

Acknowledgement: Researchers examine the Automated Brain Tumour Detection using Deep Learning via Convolution Neural networks (CNN). In the CNN, convolution layer squeeze the picture as elevated skin tone, then the volitional layer reconstructs the segmented picture on or after this covering tone [12]. In this research PGI Chandigarh, Neurology Department helps in this in research provide data for experimental purpose.

Conflict of interest:  There Is No Conflict Interest.


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Dr. Pramod Kumar Manjhi joined Editor-in-Chief since July 2021 onwards

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Best Article Award

A study by Dorothy Ebere Adimora et al. entitled \"Remediation for Effects of Domestic Violence on Psychological well-being, Depression and Suicide among Women During COVID-19 Pandemic: A Cross-cultural Study of Nigeria and Spain\" is awarded Best Article of Vol 14 issue 23
A study by Muhas C. et al. entitled \"Study on Knowledge & Awareness About Pharmacovigilance Among Pharmacists in South India\" is awarded Best article for Vol 14 issue 22
A study by Saurabh Suvidha entitled \"A Case of Mucoid Degeneration of Uterine Fibroid with Hydrosalphinx and Ovarian Cyst\" is awarded Best article of Vol 14 issue 21
A study by Alice Alice entitled \"Strengthening of Human Milk Banking across South Asian Countries: A Next Step Forward\" is awarded Best article of Vol 14 issue 20
A study by Sathyanarayanan AR et al. entitled \"The on-task Attention of Individuals with Autism Spectrum Disorder-An Eye Tracker Study Using Auticare\" is awarded Best article of Vol 14 issue 19
A study by Gupta P. et al. entitled \"A Short Review on \"A Novel Approach in Fast Dissolving Film & their Evaluation Studies\" is awarded Best Article of Vol 14 issue 18.
A study by Shafaque M. et al. entitled \"A Case-Control Study Performed in Karachi on Inflammatory Markers by Ciprofloxacin and CoAmoxicillin in Patients with Chronic Suppurative Otitis Media\" is awarded Best Article of Vol 14 issue 17
A study by Ali Nawaz et al. entitled \"A Comparative Study of Tubeless versus Standard Percutaneous Nephrolithotomy (PCNL) \? A Randomized Controlled Study\" is awarded Best Article for Vol 14 issue 16.
A study by Singh R. et al. entitled \"A Prospective Study to Find the Association of Astigmatism in Patients of Vernal Keratoconjunctivitis (VKC) in a Tertiary Health Care Centre in India (Vindhya Region MP)\" is awarded Best Article for Vol 14 issue 15
A Study by Humaira Tahir et al. entitled "Comparison of First Analgesic Demand after Major Surgeries of Obstetrics and Gynecology between Pre-Emptive Versus Intra-Operative Groups by Using Intravenous Paracetamol: A Cross-Sectional Study" is awarded Best Article for Vol 14 issue 14
A Study by Monica K. entitled "Risk Predictors for Lymphoma Development in Sjogren Syndrome - A Systematic Review" is awarded Best Article for Vol 14 issue 13
A Study by Mokhtar M Sh et al. entitled "Prevalence of Hospital Mortality of Critically Ill Elderly Patients" is awarded Best Article for Vol 14 issue 12
A Study by Vidya S. Bhat et al. entitled "Effect of an Indigenous Cleanser on the Microbial Biofilm on Acrylic Denture Base - A Pilot Study" is awarded Best Article for Vol 14 issue 11
A Study by Pandya S. et al. entitled "Acute and 28-Day Repeated Dose Subacute Toxicological Evaluation of Coroprotect Tablet in Rodents" is awarded Best Article for Vol 14 issue 10
A Study by Muhammad Zaki et al. entitled "Effect of Hemoglobin Level on the Severity of Acute Bronchiolitis in Children: A Case-Control Study" is awarded Best Article for Vol 14 issue 09
A Study by Vinita S & Ayushi S entitled "Role of Colour Doppler and Transvaginal Sonography for diagnosis of endometrial pathology in women presenting with Abnormal Uterine Bleeding" is awarded Best Article for Vol 14 issue 08
A Study by Prabhu A et al. entitled "Awareness of Common Eye Conditions among the ASHA (Accredited Social Health Activist) Workers in the Rural Communities of Udupi District- A Pilot Study" is awarded Best Article for Vol 14 issue 07
A Study by Divya MP et al. entitled "Non-Echoplanar Diffusion-Weighted Imaging and 3D Fiesta Magnetic Resonance Imaging Sequences with High Resolution Computed Tomography Temporal Bone in Assessment and Predicting the Outcome of Chronic Suppurative Otitis Media with Cholesteatoma" is awarded Best Article for Vol 14 issue 06
A Study by Zahoor Illahi Soomro et al. entitled "Functional Outcomes of Fracture Distal Radius after Fixation with Two Different Plates: A Retrospective Comparative Study" is awarded Best Article for Vol 14 issue 05
A Study by Ajai KG & Athira KN entitled "Patients’ Gratification Towards Service Delivery Among Government Hospitals with Particular Orientation Towards Primary Health Centres" is awarded Best Article for Vol 14 issue 04
A Study by Mbungu Mulaila AP et al. entitled "Ovarian Pregnancy in Kindu City, D.R. Congo - A Case Report" is awarded Best Article for Vol 14 issue 03
A Study by Maryam MJ et al. entitled "Evaluation Serum Chemerin and Visfatin Levels with Rheumatoid Arthritis: Possible Diagnostic Biomarkers" is awarded Best Article for Vol 14 issue 02
A Study by Shanthan KR et al. entitled "Comparison of Ultrasound Guided Versus Nerve Stimulator Guided Technique of Supraclavicular Brachial Plexus Block in Patients Undergoing Upper Limb Surgeries" is awarded Best Article for Vol 14 issue 01
A Study by Amol Sanap et al. entitled "The Outcome of Coxofemoral Bypass Using Cemented Bipolar Hemiarthroplasty in the Treatment of Unstable Intertrochanteric Fracture of Femur in a Rural Setup" is awarded Best Article Award of Vol 13 issue 24
A Study by Manoj KP et al. entitled "A Randomized Comparative Clinical Trial to Know the Efficacy of Ultrasound-Guided Transversus Abdominis Plane Block Against Multimodal Analgesia for Postoperative Analgesia Following Caesarean Section" is awarded Best Article Award of Vol 13 issue 23
A Study by Karimova II et al. entitled "Changes in the Activity of Intestinal Carbohydrases in Alloxan-Induced Diabetic Rats and Their Correction with Prenalon" is awarded Best Article of Vol 13 issue 22
A Study by Ashish B Roge et al. entitled "Development, Validation of RP-HPLC Method and GC MS Analysis of Desloratadine HCL and It’s Degradation Products" is awarded Best Article of Vol 13 issue 21
A Study by Isha Gaurav et al. entitled "Association of ABO Blood Group with Oral Cancer and Precancer – A Case-control Study" is awarded Best Article for Vol 13 issue 20
A Study by Amr Y. Zakaria et al. entitled "Single Nucleotide Polymorphisms of ATP-Binding Cassette Gene(ABCC3 rs4793665) affect High Dose Methotrexate-Induced Nephrotoxicity in Children with Osteosarcoma" is awarded Best Article for Vol 13 issue 19
A Study by Kholis Ernawati et al. entitled "The Utilization of Mobile-Based Information Technology in the Management of Dengue Fever in the Community Year 2019-2020: Systematic Review" is awarded Best Article for Vol 13 issue 18
A Study by Bhat Asifa et al. entitled "Efficacy of Modified Carbapenem Inactivation Method for Carbapenemase Detection and Comparative Evaluation with Polymerase Chain Reaction for the Identification of Carbapenemase Producing Klebsiella pneumonia Isolates" is awarded Best Article for Vol 13 issue 17
A Study by Gupta R. et al. entitled "A Clinical Study of Paediatric Tracheostomy: Our Experience in a Tertiary Care Hospital in North India" is awarded Best Article for Vol 13 issue 16
A Study by Chandran Anand et al. entitled "A Prospective Study on Assessment of Quality of Life of Patients Receiving Sorafenib for Hepatocellular Carcinoma" is awarded Best article for Vol 13 issue 15
A Study by Rosa PS et al. entitled "Emotional State Due to the Covid – 19 Pandemic in People Residing in a Vulnerable Area in North Lima" is awarded Best Article for Vol 13 issue 14
A Study by Suvarna Sunder J et al. entitled "Endodontic Revascularization of Necrotic Permanent Anterior Tooth with Platelet Rich Fibrin, Platelet Rich Plasma, and Blood Clot - A Comparative Study" is awarded Best Article for Vol 13 issue 13
A Study by Mona Isam Eldin Osman et al. entitled "Psychological Impact and Risk Factors of Sexual Abuse on Sudanese Children in Khartoum State" is awarded Best Article for Vol 13 issue 12
A Study by Khaw Ming Sheng & Sathiapriya Ramiah entitled "Web Based Suicide Prevention Application for Patients Suffering from Depression" is awarded Best Article for Vol 13 issue 11
A Study by Purushottam S. G. et al. entitled "Development of Fenofibrate Solid Dispersions for the Plausible Aqueous Solubility Augmentation of this BCS Class-II Drug" is awarded Best article for Vol 13 issue 10
A Study by Kumar S. et al. entitled "A Study on Clinical Spectrum, Laboratory Profile, Complications and Outcome of Pediatric Scrub Typhus Patients Admitted to an Intensive Care Unit from a Tertiary Care Hospital from Eastern India" is awarded Best Article for Vol 13 issue 09
A Study by Mardhiah Kamaruddin et al. entitled "The Pattern of Creatinine Clearance in Gestational and Chronic Hypertension Women from the Third Trimester to 12 Weeks Postpartum" is awarded Best Article for Vol 13 issue 08
A Study by Sarmila G. B. et al. entitled "Study to Compare the Efficacy of Orally Administered Melatonin and Clonidine for Attenuation of Hemodynamic Response During Laryngoscopy and Endotracheal Intubation in Gastrointestinal Surgeries" is awarded Best Article for Vol 13 issue 07
A Study by M. Muthu Uma Maheswari et al. entitled "A Study on C-reactive Protein and Liver Function Tests in Laboratory RT-PCR Positive Covid-19 Patients in a Tertiary Care Centre – A Retrospective Study" is awarded Best Article of Vol 13 issue 06 Special issue Modern approaches for diagnosis of COVID-19 and current status of awareness
A Study by Gainneos PD et al. entitled "A Comparative Evaluation of the Levels of Salivary IgA in HIV Affected Children and the Children of the General Population within the Age Group of 9 – 12 Years – A Cross-Sectional Study" is awarded Best Article of Vol 13 issue 05 Special issue on Recent Advances in Dentistry for better Oral Health
A Study by Alkhansa Mahmoud et al. entitled "mRNA Expression of Somatostatin Receptors (1-5) in MCF7 and MDA-MB231 Breast Cancer Cells" is awarded Best Article of Vol 13 issue 06
A Study by Chen YY and Ghazali SRB entitled "Lifetime Trauma, posttraumatic stress disorder Symptoms and Early Adolescence Risk Factors for Poor Physical Health Outcome Among Malaysian Adolescents" is awarded Best Article of Vol 13 issue 04 Special issue on Current Updates in Plant Biology to Medicine to Healthcare Awareness in Malaysia
A Study by Kumari PM et al. entitled "Study to Evaluate the Adverse Drug Reactions in a Tertiary Care Teaching Hospital in Tamilnadu - A Cross-Sectional Study" is awarded Best Article for Vol 13 issue 05
A Study by Anu et al. entitled "Effectiveness of Cytological Scoring Systems for Evaluation of Breast Lesion Cytology with its Histopathological Correlation" is awarded Best Article of Vol 13 issue 04
A Study by Sharipov R. Kh. et al. entitled "Interaction of Correction of Lipid Peroxidation Disorders with Oxibral" is awarded Best Article of Vol 13 issue 03
A Study by Tarek Elwakil et al. entitled "Led Light Photobiomodulation Effect on Wound Healing Combined with Phenytoin in Mice Model" is awarded Best Article of Vol 13 issue 02
A Study by Mohita Ray et al. entitled "Accuracy of Intra-Operative Frozen Section Consultation of Gastrointestinal Biopsy Samples in Correlation with the Final Histopathological Diagnosis" is awarded Best Article for Vol 13 issue 01
A Study by Badritdinova MN et al. entitled "Peculiarities of a Pain in Patients with Ischemic Heart Disease in the Presence of Individual Combines of the Metabolic Syndrome" is awarded Best Article for Vol 12 issue 24
A Study by Sindhu Priya E S et al. entitled "Neuroprotective activity of Pyrazolone Derivatives Against Paraquat-induced Oxidative Stress and Locomotor Impairment in Drosophila melanogaster" is awarded Best Article for Vol 12 issue 23
A Study by Habiba Suhail et al. entitled "Effect of Majoon Murmakki in Dysmenorrhoea (Usre Tams): A Standard Controlled Clinical Study" is awarded Best Article for Vol 12 issue 22
A Study by Ghaffar UB et al. entitled "Correlation between Height and Foot Length in Saudi Population in Majmaah, Saudi Arabia" is awarded Best Article for Vol 12 issue 21
A Study by Siti Sarah Binti Maidin entitled "Sleep Well: Mobile Application to Address Sleeping Problems" is awarded Best Article for Vol 12 issue 20
A Study by Avijit Singh"Comparison of Post Operative Clinical Outcomes Between “Made in India” TTK Chitra Mechanical Heart Valve Versus St Jude Mechanical Heart Valve in Valve Replacement Surgery" is awarded Best Article for Vol 12 issue 19
A Study by Sonali Banerjee and Mary Mathews N. entitled "Exploring Quality of Life and Perceived Experiences Among Couples Undergoing Fertility Treatment in Western India: A Mixed Methodology" is awarded Best Article for Vol 12 issue 18
A Study by Jabbar Desai et al. entitled "Prevalence of Obstructive Airway Disease in Patients with Ischemic Heart Disease and Hypertension" is awarded Best Article for Vol 12 issue 17
A Study by Juna Byun et al. entitled "Study on Difference in Coronavirus-19 Related Anxiety between Face-to-face and Non-face-to-face Classes among University Students in South Korea" is awarded Best Article for Vol 12 issue 16
A Study by Sudha Ramachandra & Vinay Chavan entitled "Enhanced-Hybrid-Age Layered Population Structure (E-Hybrid-ALPS): A Genetic Algorithm with Adaptive Crossover for Molecular Docking Studies of Drug Discovery Process" is awarded Best article for Vol 12 issue 15
A Study by Varsha M. Shindhe et al. entitled "A Study on Effect of Smokeless Tobacco on Pulmonary Function Tests in Class IV Workers of USM-KLE (Universiti Sains Malaysia-Karnataka Lingayat Education Society) International Medical Programme, Belagavi" is awarded Best article of Vol 12 issue 14, July 2020
A study by Amruta Choudhary et al. entitled "Family Planning Knowledge, Attitude and Practice Among Women of Reproductive Age from Rural Area of Central India" is awarded Best Article for special issue "Modern Therapeutics Applications"
A study by Raunak Das entitled "Study of Cardiovascular Dysfunctions in Interstitial Lung Diseas epatients by Correlating the Levels of Serum NT PRO BNP and Microalbuminuria (Biomarkers of Cardiovascular Dysfunction) with Echocardiographic, Bronchoscopic and HighResolution Computed Tomography Findings of These ILD Patients" is awarded Best Article of Vol 12 issue 13 
A Study by Kannamani Ramasamy et al. entitled "COVID-19 Situation at Chennai City – Forecasting for the Better Pandemic Management" is awarded best article for  Vol 12 issue 12
A Study by Muhammet Lutfi SELCUK and Fatma entitled "Distinction of Gray and White Matter for Some Histological Staining Methods in New Zealand Rabbit's Brain" is awarded best article for  Vol 12 issue 11
A Study by Anamul Haq et al. entitled "Etiology of Abnormal Uterine Bleeding in Adolescents – Emphasis Upon Polycystic Ovarian Syndrome" is awarded best article for  Vol 12 issue 10
A Study by entitled "Estimation of Reference Interval of Serum Progesterone During Three Trimesters of Normal Pregnancy in a Tertiary Care Hospital of Kolkata" is awarded best article for  Vol 12 issue 09
A Study by Ilona Gracie De Souza & Pavan Kumar G. entitled "Effect of Releasing Myofascial Chain in Patients with Patellofemoral Pain Syndrome - A Randomized Clinical Trial" is awarded best article for  Vol 12 issue 08
A Study by Virendra Atam et. al. entitled "Clinical Profile and Short - Term Mortality Predictors in Acute Stroke with Emphasis on Stress Hyperglycemia and THRIVE Score : An Observational Study" is awarded best article for  Vol 12 issue 07
A Study by K. Krupashree et. al. entitled "Protective Effects of Picrorhizakurroa Against Fumonisin B1 Induced Hepatotoxicity in Mice" is awarded best article for issue Vol 10 issue 20
A study by Mithun K.P. et al "Larvicidal Activity of Crude Solanum Nigrum Leaf and Berries Extract Against Dengue Vector-Aedesaegypti" is awarded Best Article for Vol 10 issue 14 of IJCRR
A study by Asha Menon "Women in Child Care and Early Education: Truly Nontraditional Work" is awarded Best Article for Vol 10 issue 13
A study by Deep J. M. "Prevalence of Molar-Incisor Hypomineralization in 7-13 Years Old Children of Biratnagar, Nepal: A Cross Sectional Study" is awarded Best Article for Vol 10 issue 11 of IJCRR
A review by Chitra et al to analyse relation between Obesity and Type 2 diabetes is awarded 'Best Article' for Vol 10 issue 10 by IJCRR. 
A study by Karanpreet et al "Pregnancy Induced Hypertension: A Study on Its Multisystem Involvement" is given Best Paper Award for Vol 10 issue 09

List of Awardees

A Study by Ese Anibor et al. "Evaluation of Temporomandibular Joint Disorders Among Delta State University Students in Abraka, Nigeria" from Vol 13 issue 16 received Emerging Researcher Award

A Study by Alkhansa Mahmoud et al. entitled "mRNA Expression of Somatostatin Receptors (1-5) in MCF7 and MDA-MB231 Breast Cancer Cells" from Vol 13 issue 06 received Emerging Researcher Award

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Disclaimer: International Journal of Current Research and Review (IJCRR) provides platform for researchers to publish and discuss their original research and review work. IJCRR can not be held responsible for views, opinions and written statements of researchers published in this journal.


International Journal of Current Research and Review (IJCRR) provides platform for researchers to publish and discuss their original research and review work. IJCRR can not be held responsible for views, opinions and written statements of researchers published in this journal


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