Polygon-Mamba achieves F1 scores of 0.8283, 0.8282, and 0.8251 on DRIVE, STARE, and CHASE_DB1 by combining polygon scanning Mamba with space-frequency collaborative attention to better detect small retinal vessels.
CCS-UNet: a cross-channel spatial attention model for accurate retinal vessel segmentation
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Polygon-mamba: Retinal vessel segmentation using polygon scanning mamba and space-frequency collaborative attention
Polygon-Mamba achieves F1 scores of 0.8283, 0.8282, and 0.8251 on DRIVE, STARE, and CHASE_DB1 by combining polygon scanning Mamba with space-frequency collaborative attention to better detect small retinal vessels.