Pathologic Image Classification of Flat Urothelial Lesions Using Pathologic Criteria-Based Deep Learning.
Journal:
American journal of clinical pathology
PMID:
36197883
Abstract
OBJECTIVES: Pathologic diagnosis of flat urothelial lesions is subject to high interobserver variability. We expected that deep learning could improve the accuracy and consistency of such pathologic diagnosis, although the learning process is a black box. We therefore propose a new approach for pathologic image classification incorporating the diagnostic process of the pathologist into a deep learning method.