Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation

Understand

Histopathology has played an essential role in cancer diagnosis.

• With the rapid advances in convolutional neural networks (CNN).
• Various CNN-based automated pathological image segmentation approaches have been developed in computer-assisted pathological image analysis.
• In the past few years, Transformer neural networks (Transformer) have shown the unique merit of capturing the global long-distance dependencies across the entire image as a new deep learning paradigm.