• Ashwini

Human body has of several organs and among them the brain is the most critical organ in the body to regulate and control all important tasks done by human being. Sometimes due to over production of cells in brain may cause abnormal tissue which are infectious or non-infectious. The infected part is called cancerous tumour which will slightly spread in the brain or other parts of the body. But till to the date it is not found the real cause of the tumour development in the brain. But it is found that medical cases on brain tumour have not reduced, according to the research 1.8% of the population diagnosed by tumor. There are two types of brain tumours, namely benign and malignant. Benign is type of tumour which will not spread other parts of the brain or body whereas Malignant will spread other parts of the body or within the brain. So it’s important to detect the tumors early as possible, so that early treatment can be planned which will reduce the overall death rate around the world. For the monitoring of brain tumour diagnosis, the research suggested a computer-assisted radiology system that will analyze brain tumor using MRI data. DWT and GLCM procedures are used to extract features, and CNN, SVM algorithms to classify tumours with excellent accuracy. The project consists of a few models to detect and classify the MRI scans and models will segments pictures and extracts features using discrete wavelet transform and Gray level co - occurrence to accurately classifying tumours using SVM and CNN with a good accuracy.

MRI scans, GLCM, DWT, SVM, CNN,ResNet-50

"Brain tumor detection and classification using SVM and CNN from MRI scans", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.g292-g302, July-2022, Available :http://www.jetir.org/papers/JETIR2207643.pdf

"Brain tumor detection and classification using SVM and CNN from MRI scans", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppg292-g302, July-2022, Available at : http://www.jetir.org/papers/JETIR2207643.pdf