Medical Image Segmentation On Cvc Colondb

Metrics

mIoU

mean Dice

Results

Performance results of various models on this benchmark

			Paper Title	Repository
RAPUNet	0.9096	0.9526	MetaFormer and CNN Hybrid Model for Polyp Image Segmentation	-
DUCK-Net	0.8785	0.9353	Using DUCK-Net for Polyp Image Segmentation
EMCAD	-	0.9231	EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
ProMISe	0.789	0.874	ProMISe: Promptable Medical Image Segmentation using SAM
Meta-Polyp	0.79	0.867	Meta-Polyp: a baseline for efficient Polyp segmentation
ResUNet++ + TTA	0.8466	0.8474	A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
PVT-GCASCADE	0.7460	0.8261	G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
PVT-CASCADE	0.7453	0.8254	Medical Image Segmentation via Cascaded Attention Decoding	-
DuAT	0.737	0.819	DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation
ESFPNet-L	0.730	0.811	ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video
Polyp-PVT	0.727	0.808	Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
SSFormer-L	0.721	0.802	Stepwise Feature Fusion: Local Guides Global
UACANet-S	0.704	0.783	UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
SAM-EG	0.689	0.774	SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation	-
HarDNet-DFUS	-	0.774	HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation
TransFuse-S	0.696	0.773	TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
CaraNet	0.689	0.773	CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects
KDAS	0.679	0.759	KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation
COMMA (Res2Net-50)	0.689	0.754	COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation	-
UACANet-L	0.678	0.751	UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation

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Medical Image Segmentation On Cvc Colondb

Metrics

Results