A systematic review on colon cancer classification by convolutional neural networks: Architecture, accuracy, and research directions
A systematic review of recent notable studies of CNN-based colon cancer classification using histopathological WSI showed that Res-Net architecture demonstrated the highest accuracy in both bi- and multi-classification tasks over the past five years.