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Microscopic noise can fool multiple cancer pathology models, exposing a major clinical safety gap
The integration of AI into digital pathology through general-purpose foundation models promises to significantly enhance ...
An artificial intelligence (AI) system that combines breast cancer tissue images with molecular marker data achieves high ...
Hepatic and pancreatic oncology is at the forefront of medical research due to the persistently high morbidity and mortality associated with these cancers.
Researchers at the Faculty of Information Technology at the University of Jyväskylä have used artificial intelligence to speed up the analysis of colorectal cancer samples and predict the functioning ...
Researchers at the Faculty of Information Technology at the University of Jyväskylä have used artificial intelligence to speed up the analysis of colorectal cancer samples and predict the functioning ...
Abstract: In recent years, massive datasets have significantly driven the advancement of visual learning such as multi-modal large model at the expense of high computational costs and extensive ...
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