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Informatics Colloquium 7.12. RationAI: Rational and conservative artificial intelligence (not only) in digital pathologyRead more
Informatics Colloquium 7.12. 2021, 14:00 lecture hall D2
doc. RNDr. Tomáš Brázdil, Ph.D., FI MU
Abstract: I will present the new research group RationAI concerned with explainable artificial intelligence (AI) techniques in biomedicine. I will concentrate on a single case study, analyzing whole slide images (WSI) from digital pathology. Our primary concern is to find out how good cutting-edge methods are and to make them useful for pathologists. Our aims will be illustrated using our deep learning-based system for cancer detection in WSI of prostate cancer. Subsequently, I will explain how explainability can be achieved using (slightly modified) standard methods for explainable AI and how pathologists interpret our explanations. Finally, I will present further plans of the RaionAI group in pathology and other areas of AI in biomedicine.
"I'd like to thank our academics and students, particularly our doctoral students, for publishing work that has seen the Faculty of Informatics ranked first out of 55 institutions in the area in disciplinary comparisons published by IDEA CERGE in Oborová publikační výkonnost pracovišť výzkumných organizací v ČR v letech 2009-2013.Prof. Jiří Zlatuška
FI MU Dean