May 14, 2024, 4:47 a.m. | Dinkar Juyal, Harshith Padigela, Chintan Shah, Daniel Shenker, Natalia Harguindeguy, Yi Liu, Blake Martin, Yibo Zhang, Michael Nercessian, Miles Marke

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.07905v1 Announce Type: cross
Abstract: Pathology is the study of microscopic inspection of tissue, and a pathology diagnosis is often the medical gold standard to diagnose disease. Pathology images provide a unique challenge for computer-vision-based analysis: a single pathology Whole Slide Image (WSI) is gigapixel-sized and often contains hundreds of thousands to millions of objects of interest across multiple resolutions. In this work, we propose PathoLogy Universal TransfOrmer (PLUTO): a light-weight pathology FM that is pre-trained on a diverse dataset …

abstract analysis arxiv challenge computer cs.cv diagnosis disease eess.iv gold image images inspection medical objects pathology pluto standard study transformer type unique universal vision

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