Deep Learning Based Multi-Class Brain Tumor Detection and Localization Using SVM

Brain tumors using MRI images were a long-standing issue for mankind. Early disease detection and treatment leads to a better quality of but relying on human instincts alone is not enough. In recent times many advancements in Deep Learning are showing better results in the medical field and as the number of cases and the risk of death from tumors are on the rise, there's a need for better tools to help in identifying these growths more effectively. So, our work in this paper focuses on using convolutional deep learning and hybrid deep learning approaches to enhance the classification of different brain tumors like glioma, meningioma, and pituitary tumors, from MRI images and also to identify the exact location of brain tumor for the early diagnosis of tumors in patients using MRI images.