Oluwabukola Grace Adegboro

Keywords

Project Title

Weakly-supervised Brain Tumour Segmentation in MRI Data Using Explainable Classification Models

Project Description

Brain cancer ranks as the 10th most prevalent cause of mortality among adults. Timely diagnosis plays a pivotal role in preserving lives and substantially reduces the financial burden associated with treatment. The main goal of this project is to develop transparent and comprehensible models for the weakly-supervised segmentation of brain tumours within MRI data. Furthermore, the project seeks to offer recommendations to healthcare professionals on integrating this technology into medical practice.