Abstract: Computer-assisted methods for pathological image analysis can enhance the efficiency and accuracy of doctors' image reading, effectively addressing the shortage of pathology diagnostic manpower. With the rapid development of artificial intelligence and digital pathology, deep learning technology has spurred a wealth of research in the field of histopathology. This article reviews the various applications of deep learning in digital pathological image analysis, such as pathological image segmentation, cancer diagnosis, and prognosis prediction, and discusses the challenges and solutions in its application. The article also predicts future trends in deep learning for pathological image analysis and proposes potential research directions.