CA-SegNet: A channel-attention encoder-decoder network for histopathological image segmentation

A novel deep learning-based CA-SegNet model for histopathological image segmentation.

• A channel-attention feature fusion module (CAFFM) that significantly improves shallow feature reuse.

• A bottleneck-structured decoder developed for better feature integration.

• Outstanding segmentation performance on both large and small-scale datasets.