CA-SegNet: A channel-attention encoder-decoder network for histopathological image segmentation
Résumé
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.
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HE Feng_CA-SegNet - A channel-attention encoder–decoder network_2024.pdf (3.59 Mo)
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