Explainable AI (XAI) in Medical Imaging

Are you interested in applying your AI/DL knowledge to the medical domain?

This project focuses on the use of AI in Medical Imaging (e.g. CT, MRI, X-Ray, Ultrasound, etc). The work includes segmentation and classification; for example, segmenting tumour from the medical images, and then classify the grade of the tumour. We will use various Deep Learning techniques, such as CNN, and will experiment with a variety of Deep Learning frameworks, such as U-Net, ResNet, etc.

One of the main challenges in medical image segmentation and classification is that the results must be explainable; hence Explainable AI or XAI is essential. We will use a variety of XAI methods, such as Grad-CAM, and others.

This project will involve a lot of experiments using DL/AI methods. We will use the Monash High Performance Computing platform (MASSIVE) to do the experiments.