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NYU Dataset
Mapping the Landscape of Histomorphological Cancer Phenotypes Using Self-Supervised Learning on Unannotated Pathology Slides
- Authors
- Adalberto Claudio QuirosNicolas CoudrayAnna H. YeatonXinyu Yang12 more author(s)...
- Description
Histomorphological Phenotype Learning (HPL) was developed as a self-supervised methodology to discriminatory features in microscopy images to aid in cancer diagnosis and management. The methodology partitions whole slide images (WSIs) into meaningful Histomorphological Phenotype Clusters (HPCs) that can be used to define and quantify morphological phenotypes which recur within and between cases. HPL...
- Subject
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CancerChronic Disease
- Access Rights
- Free to AllAuthor Approval Required
