3 citations · 7 across the 3 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2022★ 2 cited
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton +13
Definitive cancer diagnosis and management depend upon the extraction of information from microscopy images by pathologists. These images contain complex information requiring time…
cs.CV2022★ 3 cited
Hierarchical Optimal Transport for Comparing Histopathology Datasets
Anna Yeaton, Rahul G. Krishnan, Rebecca Mieloszyk +2
Scarcity of labeled histopathology data limits the applicability of deep learning methods to under-profiled cancer types and labels. Transfer learning allows researchers to overcom…