AI-annotated medical image showing enhanced tumour, tumour core and edema regions. Credit: Monash University
Published recently in Nature Machine Intelligence, research addressed the limited availability of human annotated, or labeled, medical images by using an adversarial, or competitive, learning approach against unlabeled data.
This research, by Monash University faculties of Engineering and IT, could advance the field of medical image analysis for radiologists and other health experts.
Ph.D. candidate Himashi Peiris of the Faculty of Engineering, said the research design had set out to create a competition between the two components of a “dual-view” AI system.
“One part of …
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