ColonSegNet

Reported on 4 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.

Medical4 results

Medical Image SegmentationonKvasir-SEG
FPS· 2020-11-15
182.38
SOTA
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning arXiv:2011.07631
Medical Image SegmentationonBKAI-IGH NeoPolyp-Small
Average Dice· 2020-11-15
0.6881
best: 0.94 (RaBiT)
SOTA
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning arXiv:2011.07631
Medical Image SegmentationonKvasir-SEG
mIoU· 2020-11-15
0.7239
best: 0.9065 (EffiSegNet-B5)
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning arXiv:2011.07631
Medical Image SegmentationonKvasir-SEG
mean Dice· 2020-11-15
0.8206
best: 0.9502 (DUCK-Net)
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning arXiv:2011.07631