Through this project monitoring Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial phase, it may lead to death. The differences in tumor location, shape, and size present a significant obstacle for brain tumor detection. This study examined the morphology of brain tumors as well as publically accessible datasets, enhancement methods, segmentation, feature extraction, classification, and deep learning for the study of brain cancers. Moreover, Machine Learning (ML) algorithms have shown promise in outperforming current illness diagnosis methods and assisting medical professionals in the early identification of high-risk disorders. Despite many significant efforts and promising outcomes in this domain, accurate segmentation and classification remain a challenging task.
Oct 01, 2022 - Mar 31, 2023