EffiSegNet-B4

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
F-measure· 2024-07-23
0.9552
SOTA
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
0.9429
SOTA
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder arXiv:2407.16298
Medical Image SegmentationonKvasir-SEG
Precision· 2024-07-23
0.9679
best: 0.9713 (EffiSegNet-B5)
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
0.9056
best: 0.9065 (EffiSegNet-B5)
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
0.9483
best: 0.9502 (DUCK-Net)
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder arXiv:2407.16298