Brain Tumor Detection Using Deep Learning(CNN)

A brain tumour is a condition in which an accumu-lation of aberrant brain cells leads to growth.Since the brain is covered with the rigid skull, the inner part which is complex and has restricted space would cause many problems. This is very critical disease which causes deaths. Through different reports it has been analyzed that 2400 people die per year due to brain tumor and also it is predicted that, it could be increased by 1.11 percent till 2030. This research focuses on detecting brain tumours with CNN classification techniques. Brain Tumor MRI dataset from Kaggle is used for the study. The study uses five different models to divide the MRI scans into categories such as "tumour detected" and "tumour not detected", indicating not only the existence of a tumour but also the specific type of brain tumour that was found.Model 5 exhibited the highest testing accuracy of 98.63 %, along with a low testing loss of 0.0534, positioning it as the best model.