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CANES

Medical image segmentation remains a crucial challenge in automated cardiac diagnosis. We present the CANES-Net architecture, a novel architecture combining U-Net with Transformer attention, Mamba selective state-space modeling with class-specific loss functions to improve multi-class cardiac structure segmentation on the ACDC dataset.

cardiac cardiac-segmentation cpp image mamba medical performance segmentation state-space-model transformer

Creat：2025-06-11T08:26:39

Update：2025-06-11T08:38:45

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