Australia has the highest rate of skin cancer in the world, with hundreds of thousands of new diagnosed cases each year, and early detection is one of the most important factors in their prognosis.

Today the most effective method for improving the early detection rate is patient skin self-examination complemented by physician directed examination.

This project aims to develop technology to automate patient skin self-examination, providing the means to conduct convenient and personal full-body scans for the purpose of ongoing AI driven monitoring of skin health.

Presenting the general public with this ability would allow skin cancer to be detected at a much earlier stage and thereby dramatically increasing overall patient survival rates.

Project members

Associate Professor Anders Eriksson

ARC Future Fellow
School of Information Technology and Electrical Engineering