Brain-Tumour Segmentation and Classification Using Modified U net Deep Learning Approach

In the constantly evolving medical field, accurate diagnoses rely heavily on exemplary image segmentation. Brain tumors are regarded as one of the most serious problems that a human being can encounter. This research explores how the U-Net algorithm improves brain tumor segmentation. The main objective is to demonstrate its value in increasing efficiency and dropping diagnostic time for physicians, resulting in more precise and timely patient treatment.