Medical Image Segmentation on CVC-ClinicDB

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mean Dice

Rank	Model	mean Dice	Average MAE	S-Measure	mIoU	max E-Measure	F-measure	Paper	Code	Year
1	DUCK-Net	0.9684	–	–	0.9343	–	–	Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation	usagisukisuki/adaptive_t-vmf_dice_loss	2022
2	RAPUNet	0.961	–	–	0.926	–	–	MetaFormer and CNN Hybrid Model for Polyp Image Segmentation	hyunnamlee/RAPUNet	2024
3	EMCAD	0.9521	–	–	–	–	–	EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation	sldgroup/emcad	2024
4	RaBiT	0.951	–	–	0.911	–	–	RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation	nguyenhoangthuan99/RaBiT	2023
4	Yolo-SAM 2	0.951	–	–	0.909	–	–	Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model	sajjad-sh33/yolo_sam2	2024
6	UGCANet	0.950	–	–	0.907	–	–	UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis		2023
7	ESFPNet-L	0.949	–	–	0.907	–	–	ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video	dumyCq/CFPNet	2022
8	FCBFormer	0.9488	–	–	–	–	–	S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging	ymp5078/semantic-stacking	2024
9	DuAT	0.948	0.006	–	0.906	–	–	DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation	Barrett-python/DuAT	2022
9	SegMed	0.948	–	–	0.902	–	–	From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures		2025
11	DUCK-Net	0.9478	–	–	0.9009	–	–	Using DUCK-Net for Polyp Image Segmentation	RazvanDu/DUCK-Net · zh320/medical-segmentation-pytorch	2023
12	ColonFormer	0.947	–	–	0.903	–	–	ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation	ducnt9907/ColonFormer	2022
13	FCBFormer	0.9469	–	–	0.9020	–	–	FCN-Transformer Feature Fusion for Polyp Segmentation	ESandML/FCBFormer · yuwenlo/hardnet-dfus	2022
14	PVT-GCASCADE	0.9468	–	–	0.9018	–	–	G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation	SLDGroup/G-CASCADE	2023
15	SSFormer-L	0.9447	–	–	0.8995	–	–	Stepwise Feature Fusion: Local Guides Global	Qiming-Huang/ssformer	2022
16	PVT-CASCADE	0.9434	–	–	0.8998	–	–	Medical Image Segmentation via Cascaded Attention Decoding	SLDGroup/CASCADE	2023
17	UniNet	0.942	–	–	0.895	–	–	UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection	pangdatangtt/UniNet	2025
17	MSRF-Net	0.9420	–	–	–	–	–	MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation	NoviceMAn-prog/MSRF-Net	2021
19	Hi-gMISnet	0.9419	–	–	0.9068	–	–	Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN	tushartalukder/HigMISnet	2024
20	MADGNet	0.9390	–	–	0.8950	–	–	Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention	Inha-CVAI/MADGNet	2024