Brain Tumour Detection Using Advance Machine Learning: A Literature Review

This paper proposes a machine learning-based model for highly accurate detection of brain tumors in magnetic resonance images. A Convolutional Neural Network (CNN) is employed for feature extraction and segmentation in the proposed algorithm for brain tumor detection from magnetic resonance images. The dataset for the study has been obtained from an internet website. Brain tumor detection is a critical aspect of medical diagnostics, where early and accurate identification plays a pivotal role in successful treatment. This survey paper explores the transformative impact of advanced machine learning techniques on the field of the brain tumor detection through the analysis of medical images. It looks for to offer a intensive understanding of the most recent strategies and advance in leveraging progressed machine learning calculations to realize heightened effectiveness and exactness within the distinguishing proof of brain tumors.