Deep Learning-based Histopathological Image Classification of Colorectal Cancer: A Brief Survey of Recent Trends
Yule Wang, Yimin Yin, Renye Zhang, Jinghua Zhang · 2023
Early diagnosis is beneficial for treating Colorectal Cancer (CRC) and can improve its curability. The traditional methods of CRC diagnosis generally rely on pathologists, but with the increasing number of CRC patients, manual diagnosis has many shortcomings. In recent years, Deep Learning (DL) has attracted wide attention in various fields. It has higher precision in many complex tasks than traditional machine learning techniques. In particular, DL is widely used in medical image classification, including histopathological images of colorectal cancer. This review summarizes multiple papers on DL for histopathological CRC image classification from 2014 to 2022. These papers discuss the task of deep neural networks and present their challenges and potential development directions for histopathological colorectal cancer image classification.