3 citations · 7 across the 3 of their papers we have counts for
3 papers
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…
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…
Adversarial learning of cancer tissue representations
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton +4
Deep learning based analysis of histopathology images shows promise in advancing the understanding of tumor progression, tumor micro-environment, and their underpinning biological…