Mapping The Landscape Of Histomorphological Cancer Phenotypes Using Self-supervised Learning On Unannotated Pathology Slides

HPL is a self-supervised deep learning approach that identifies distinct histomorphological patterns in whole-slide images without the need for expert annotations. These patterns can then be used to quantitatively assess the composition of new patient samples.