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الرئيسية
SOTA
Medical Image Segmentation
Medical Image Segmentation On Kvasir Seg
Medical Image Segmentation On Kvasir Seg
المقاييس
Average MAE
mean Dice
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Average MAE
mean Dice
Paper Title
Repository
FANet
0.8153
0.8803
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
ResUNet++ + TTA + CRF
-
0.8508
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
RUPNet
-
0.7658
RUPNet: Residual upsampling network for real-time polyp segmentation
-
TGA-Net
-
0.8982
TGANet: Text-guided attention for improved polyp segmentation
ESFPNet-L
-
0.931
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video
TransNetR
-
0.8706
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing
ColonSegNet
-
0.8206
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
COMMA (ResNet-50)
0.024
0.904
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation
-
EffiSegNet-B4
-
0.9483
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder
-
HarDNet-DFUS
-
0.9363
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation
DoubleUnet-DCA
-
0.8516
Dual Cross-Attention for Medical Image Segmentation
MEGANet(ResNet-34)
0.026
0.911
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation
HarDNet-MSEG
0.025
0.912
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
UACANet-S
0.026
0.905
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
AG-CUResNeSt
-
0.902
AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation
SEP
-
0.9411
Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation
-
COMMA (Res2Net-50)
0.027
0.901
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation
-
RAPUNet
-
0.939
MetaFormer and CNN Hybrid Model for Polyp Image Segmentation
MSRF-Net
-
0.9217
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
EMCAD
-
0.928
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
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