Polyp-SAM++

Reported on 6 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical6 results

Medical Image SegmentationonKvasir-SEG
F-measure· 2023-08-12
0.92
best: 0.9552 (EffiSegNet-B4)
SOTA
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?arXiv:2308.06623
Medical Image SegmentationonCVC-ClinicDB
F-measure· 2023-08-12
0.91
SOTA
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?arXiv:2308.06623
Medical Image SegmentationonKvasir-SEG
mIoU· 2023-08-12
0.862
best: 0.9065 (EffiSegNet-B5)
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?arXiv:2308.06623
Medical Image SegmentationonKvasir-SEG
mean Dice· 2023-08-12
0.902
best: 0.9502 (DUCK-Net)
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?arXiv:2308.06623
Medical Image SegmentationonCVC-ClinicDB
mIoU· 2023-08-12
0.86
best: 0.9343 (DUCK-Net)
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?arXiv:2308.06623
Medical Image SegmentationonCVC-ClinicDB
mean Dice· 2023-08-12
0.915
best: 0.9684 (DUCK-Net)
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?arXiv:2308.06623