RudolfV: A Foundation Model by Pathologists for Pathologists

arXiv:2401.04079v3 Announce Type: replace-cross
Abstract: Histopathology plays a central role in clinical medicine and biomedical research. While artificial intelligence shows promising results on many pathological tasks, generalization and dealing with rare diseases, where training data is scarce, remains a challenge. Distilling knowledge from unlabelled data into a foundation model before learning from, potentially limited, labelled data provides a viable path to address these challenges. In this work, we extend the state of the art of foundation models for digital pathology …

abstract artificial artificial intelligence arxiv biomedical challenge clinical cs.cv cs.lg data diseases eess.iv foundation foundation model intelligence knowledge medicine rare diseases research results role shows tasks training training data type