Research Article
A Novel Approach to Identify the Brain Tumour Using Convolutional Neural Network
@ARTICLE{10.4108/eetpht.9.4337, author={Suraj Khari and Deepa Gupta and Alka Chaudhary and Ruchika Bhatla}, title={A Novel Approach to Identify the Brain Tumour Using Convolutional Neural Network}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={9}, number={1}, publisher={EAI}, journal_a={PHAT}, year={2023}, month={11}, keywords={CNN, brain tumour, MRI images}, doi={10.4108/eetpht.9.4337} }- Suraj Khari
Deepa Gupta
Alka Chaudhary
Ruchika Bhatla
Year: 2023
A Novel Approach to Identify the Brain Tumour Using Convolutional Neural Network
PHAT
EAI
DOI: 10.4108/eetpht.9.4337
Abstract
INTRODUCTION: Determining the possibility that an individual is affected by a tumour is an intricate process in today's modern technological and biological age, when feats are reaching unprecedented levels with every passing second. Machine learning modalities could dramatically enhance the accuracy of diagnosis. OBJECTIVES: Our research makes it feasible to detect tumours early, aiding in early diagnosis, and is a necessity for the curative efforts of cancer patients. METHODS: In our research model Convolutional Neural Network (CNN) was implemented using Jupiter to give an accurate result. RESULTS: In our proposed model we got 99% accuracy that is higher than the other results. CONCLUSION: Our research demonstrates the potential of using machine learning techniques to improve the accuracy and efficiency of medical diagnosis.
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