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홈
SOTA
의료 이미지 분할
Medical Image Segmentation On Kvasir Seg
Medical Image Segmentation On Kvasir Seg
평가 지표
Average MAE
mean Dice
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Average MAE
mean Dice
Paper Title
Repository
DUCK-Net
-
0.9502
Using DUCK-Net for Polyp Image Segmentation
EffiSegNet-B5
-
0.9488
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder
EffiSegNet-B4
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0.9483
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder
FCB Former
-
0.9445
Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation
FCB-SwinV2 Transformer
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0.9420
FCB-SwinV2 Transformer for Polyp Segmentation
-
SEP
-
0.9411
Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation
-
LM-Net
-
0.9409
LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation
RAPUNet
-
0.939
MetaFormer and CNN Hybrid Model for Polyp Image Segmentation
-
FCBFormer
-
0.9385
FCN-Transformer Feature Fusion for Polyp Segmentation
HarDNet-DFUS
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0.9363
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation
SSFormer-L
-
0.9357
Stepwise Feature Fusion: Local Guides Global
FCBFormer
-
0.932
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging
ESFPNet-L
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0.931
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video
EMCAD
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0.928
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
UGCANet
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0.928
UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis
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PVT-GCASCADE
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0.9274
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
RaBiT
-
0.927
RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation
ColonFormer
-
0.927
ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation
GMSRF-Net
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0.9263
GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation
PVT-CASCADE
-
0.9258
Medical Image Segmentation via Cascaded Attention Decoding
-
0 of 56 row(s) selected.
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