EffiSegNet-B5

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 SegmentationonKvasir-SEG
Precision· 2024-07-23
0.9713
SOTA
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder arXiv:2407.16298
Medical Image SegmentationonKvasir-SEG
mIoU· 2024-07-23
0.9065
SOTA
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder arXiv:2407.16298
Medical Image SegmentationonKvasir-SEG
F-measure· 2024-07-23
0.9513
best: 0.9552 (EffiSegNet-B4)
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder arXiv:2407.16298
Medical Image SegmentationonKvasir-SEG
Recall· 2024-07-23
0.9321
best: 0.9429 (EffiSegNet-B4)
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder arXiv:2407.16298
Medical Image SegmentationonKvasir-SEG
mean Dice· 2024-07-23
0.9488
best: 0.9502 (DUCK-Net)
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder arXiv:2407.16298