Comments (3)
Hi, thank you for your interest. We do not do ablation study in this paper. But you can compare our architecture and performance with PraNet. Also, some recent citations of this paper are discussing details about the CFP and A-RA module, may be it will be helpful.
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Hi, you can check those paper.
An Attention-Preserving Network-Based Method for Assisted Segmentation of Osteosarcoma MRI Images
ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation
Attention based multi-scale parallel network for polyp segmentation
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Related Issues (20)
- About the CaraNet.py HOT 4
- About Axial-Attention HOT 2
- Some questions about self_attn HOT 3
- Preprocess of Brats data HOT 1
- About weighted intersection over union and weighted binary cross-entropy HOT 6
- About the calculations of the model indicators of every epoch HOT 2
- binary segmentation HOT 2
- About axial attention module gamma HOT 5
- About Test.py file HOT 1
- After several experiments, the same computer on the test index is different. HOT 1
- About Query, Key, and Value HOT 1
- Why add a PRELU output to a linear output? HOT 1
- mean Dice is greater than 1 when I set --test_path to 'Kvasir' 'CVC-ColonDB' and 'ETIS-LaribPolypDB' HOT 1
- dice_average.m and compute size of polyp HOT 6
- About the main.m HOT 5
- About CFP_Res2Net HOT 1
- About CaraNet.py HOT 1
- About Self-attn HOT 2
- Fracture segmentation HOT 1
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