NanoNet-A

Reported on 5 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.

Medical5 results

Medical Image SegmentationonMedico automatic polyp segmentation challenge (dataset)
FPS· 2021-04-22
28.07
SOTA
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy arXiv:2104.11138
Medical Image SegmentationonMedico automatic polyp segmentation challenge (dataset)
Recall· 2021-04-22
0.8566
SOTA
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy arXiv:2104.11138
Medical Image SegmentationonMedico automatic polyp segmentation challenge (dataset)
DSC· 2021-04-22
0.7364
best: 0.8154 (UNet-ResNet50)
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy arXiv:2104.11138
Medical Image SegmentationonMedico automatic polyp segmentation challenge (dataset)
Precision· 2021-04-22
0.731
best: 0.8533 (UNet-ResNet50)
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy arXiv:2104.11138
Medical Image SegmentationonMedico automatic polyp segmentation challenge (dataset)
mIoU· 2021-04-22
0.6319
best: 0.7396 (UNet-ResNet50)
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy arXiv:2104.11138