Abstract

The visual cortex of human brain is an incredibly powerful computing machine, fantastic at recognising people and objects and building an understanding of the natural world around us. However, it is not ideally suited for objectively measuring what we see and recognising complex spatial patterns hidden in plain sight cannot. Computational Pathology is an emerging discipline concerned with the study of computer algorithms and AI for understanding disease from the analysis of digitised histology images. I will show some snippets of computational pathology research in my group to demonstrate the value of analytics of information-rich whole-slide images (the so-called Big Cancer Image Data) for cancer diagnosis and prognosis. I will conclude with some of the main challenges facing digital pathology research.