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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 5, MAY 2023

Brain Tumor Analysis Using Convolutional Neural Network and Machine Learning

Shaik Fareed Ahamad, Dr. S. Bhargavi, Zainab, Triveni G

DOI: 10.17148/IJARCCE.2023.125175

Abstract: Brain tumor is a very serious brain cancer. It is present or become due to the separation of the brain cells. It can be life threatening to a person. In the recent field of this study, tells us that deep learning will help in health industry of medical diseases imaging in the Medical Diagnostic of all the diseases. CNN is mostly used in this Machine learning algorithm. In this project CNN algorithm, image processing and data augmentation of the brain images of cancerous and are not cancerous. This project will require less computational power due to the transfer learning compared to the old CNN model. This has good accuracy results than the old pre-trained models. With the help of this project the brain tumour can be easily identified.

How to Cite:

[1] Shaik Fareed Ahamad, Dr. S. Bhargavi, Zainab, Triveni G, “Brain Tumor Analysis Using Convolutional Neural Network and Machine Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.125175