Open AccessBrain Tumor Classification Using Convolution Neural Network
Author(s) -
N. Saranya,
D. Karthika Renuka,
J Nikkesh kanthan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012206
Subject(s) - convolution (computer science) , computer science , convolutional neural network , artificial intelligence , artificial neural network , deep learning , transfer of learning , field (mathematics) , machine learning , medical imaging , brain tumor , brain cancer , pattern recognition (psychology) , cancer , medicine , pathology , mathematics , pure mathematics
Brain tumour is a very serious brain cancer. It is present or become due to the separation of the brain cells. 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. Likewise, in this paper also, we bring out the Convolution Neural Network algorithm, image processing and data augmentation to say the brain images are cancerous and which 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.