most citedMapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

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…