activity
20212024
most citedMapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing 2022 · cs.CVShow all

1 paper · 2 filters

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…