Deep Learning Techniques in MRI images for Brain Cancer Segmentation and Detection through Domain Adaptation via Dataset Fusion and Semi Supervised Learning strategies

This thesis examines the deep learning techniques to detect brain tumors in MRI brain scans to assist radiologists' in day-to-day surgical planning. It also explores semi supervised learning paradigms to improve the detection ability in MRI brain scans through use of publicly available medical datasets.