Junhan Zhao

Sep 4, 2024 | nature.com | Xiyue Wang |Junhan Zhao |Ruijiang Li |Nancy Lin |Keith L. Ligon |Sabina Signoretti | +3 more

AbstractHistopathology image evaluation is indispensable for cancer diagnoses and subtype classification. Standard artificial intelligence methods for histopathology image analyses have focused on optimizing specialized models for each diagnostic task1,2. Although such methods have achieved some success, they often have limited generalizability to images generated by different digitization protocols or samples collected from different populations3.