Digital pathology and multimodal learning on oncology data
Abstract Cancer presents a complex tapestry of biological, clinical, and molecular characteristics that collectively influence its diagnosis, progression, and treatment.…
computational pathology
Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study
Abstract Tumor purity is the percentage of cancer cells within a tissue section. Pathologists estimate tumor purity to select samples…