TCSAFormer combines token pruning/merging, top-k sparse attention, and a dual-branch convolutional feed-forward network, reporting top Dice/mIoU results on Synapse, ISIC-2018, and CVC-ClinicDB at lower FLOPs.
Advances in medical image analysis with vision transformers: a comprehensive review
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TCSAFormer: Efficient Vision Transformer with Token Compression and Sparse Attention for Medical Image Segmentation
TCSAFormer combines token pruning/merging, top-k sparse attention, and a dual-branch convolutional feed-forward network, reporting top Dice/mIoU results on Synapse, ISIC-2018, and CVC-ClinicDB at lower FLOPs.