Medical Image Segmentation

Medical Image Segmentation is a computer vision task that involves dividing an medical image into multiple segments, where each segment represents a different object or structure of interest in the image. The goal of medical image segmentation is to provide a precise and accurate representation of the objects of interest within the image, typically for the purpose of diagnosis, treatment planning, and quantitative analysis.

( Image credit: IVD-Net )

Papers

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Showing 326–350 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation	Apr 7, 2024	Data AugmentationDomain Adaptation	CodeCode Available	1	5
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities	May 30, 2019	DiversityInductive Bias	CodeCode Available	1	5
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation	Sep 22, 2020	Image SegmentationLesion Segmentation	CodeCode Available	1	5
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation	Oct 31, 2023	DecoderDenoising	CodeCode Available	1	5
FastGeodis: Fast Generalised Geodesic Distance Transform	Jul 26, 2022	CPUGPU	CodeCode Available	1	5
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation	Apr 5, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects	Aug 16, 2021	Medical Image SegmentationSegmentation	CodeCode Available	1	5
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification	Jul 17, 2024	CPUDomain Adaptation	CodeCode Available	1	5
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation	Sep 23, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1	5
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation	Jul 3, 2024	Domain AdaptationImage Segmentation	CodeCode Available	1	5
Cardiac Segmentation with Strong Anatomical Guarantees	Jun 15, 2020	Cardiac SegmentationImage Segmentation	CodeCode Available	1	5
Medical Image Segmentation via Unsupervised Convolutional Neural Network	Jan 28, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation	Oct 19, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise	Dec 20, 2023	Federated LearningImage Segmentation	CodeCode Available	1	5
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration	Aug 8, 2022	Image RestorationImage Segmentation	CodeCode Available	1	5
Few Shot Medical Image Segmentation with Cross Attention Transformer	Mar 24, 2023	Few-Shot LearningImage Segmentation	CodeCode Available	1	5
CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal Intervention	Mar 20, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling	Nov 3, 2023	FairnessImage Segmentation	CodeCode Available	1	5
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation	Nov 24, 2021	Data AugmentationDomain Generalization	CodeCode Available	1	5
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation	Jan 1, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation	Dec 30, 2020	Colorectal Polyps CharacterizationDecision Making	CodeCode Available	1	5
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation	Nov 22, 2022	DisentanglementDomain Generalization	CodeCode Available	1	5
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation	May 31, 2020	DecoderImage Segmentation	CodeCode Available	1	5
Boundary loss for highly unbalanced segmentation	Dec 17, 2018	Brain Lesion Segmentation From MriIschemic Stroke Lesion Segmentation	CodeCode Available	1	5
False Negative/Positive Control for SAM on Noisy Medical Images	Aug 20, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5

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All datasets Kvasir-SEG CVC-ClinicDB CVC-ColonDB ETIS-LARIBPOLYPDB Synapse multi-organ CT Automatic Cardiac Diagnosis Challenge (ACDC)MoNuSeg 2018 Data Science Bowl GlaS BKAI-IGH NeoPolyp-Small MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge ACDC

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.95	—	Unverified
2	EffiSegNet-B5	mean Dice	0.95	—	Unverified
3	EffiSegNet-B4	mean Dice	0.95	—	Unverified
4	SegMed	mean Dice	0.95	—	Unverified
5	FCB Former	mean Dice	0.94	—	Unverified
6	FCB-SwinV2 Transformer	mean Dice	0.94	—	Unverified
7	SEP	mean Dice	0.94	—	Unverified
8	LM-Net	mean Dice	0.94	—	Unverified
9	RAPUNet	mean Dice	0.94	—	Unverified
10	FCBFormer	mean Dice	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.97	—	Unverified
2	RAPUNet	mean Dice	0.96	—	Unverified
3	EMCAD	mean Dice	0.95	—	Unverified
4	Yolo-SAM 2	mean Dice	0.95	—	Unverified
5	RaBiT	mean Dice	0.95	—	Unverified
6	UGCANet	mean Dice	0.95	—	Unverified
7	ESFPNet-L	mean Dice	0.95	—	Unverified
8	FCBFormer	mean Dice	0.95	—	Unverified
9	SegMed	mean Dice	0.95	—	Unverified
10	DuAT	mean Dice	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.95	—	Unverified
2	DUCK-Net	mean Dice	0.94	—	Unverified
3	EMCAD	mean Dice	0.92	—	Unverified
4	SegMed	mean Dice	0.92	—	Unverified
5	UniNet	mean Dice	0.92	—	Unverified
6	ProMISe	mean Dice	0.87	—	Unverified
7	Meta-Polyp	mean Dice	0.87	—	Unverified
8	ResUNet++ + TTA	mean Dice	0.85	—	Unverified
9	PVT-GCASCADE	mean Dice	0.83	—	Unverified
10	PVT-CASCADE	mean Dice	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.96	—	Unverified
2	SegMed	mean Dice	0.94	—	Unverified
3	DUCK-Net	mean Dice	0.94	—	Unverified
4	EMCAD	mean Dice	0.92	—	Unverified
5	ProMISe	mean Dice	0.84	—	Unverified
6	RSAFormer	mean Dice	0.84	—	Unverified
7	ESFPNet-L	mean Dice	0.82	—	Unverified
8	DuAT	mean Dice	0.82	—	Unverified
9	PVT-CASCADE	mean Dice	0.8	—	Unverified
10	SSFormer-L	mean Dice	0.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Interactive AI-SAM gt box	Avg DSC	90.66	—	Unverified
2	Medical SAM Adapter	Avg DSC	89.8	—	Unverified
3	MedSegDiff-v2	Avg DSC	89.5	—	Unverified
4	nnUNet	Avg DSC	88.8	—	Unverified
5	MedNeXt-L (5x5x5)	Avg DSC	88.76	—	Unverified
6	MIST	Avg DSC	86.92	—	Unverified
7	nnFormer	Avg DSC	86.57	—	Unverified
8	AgileFormer	Avg DSC	86.11	—	Unverified
9	MERIT	Avg DSC	84.9	—	Unverified
10	Automatic AI-SAM	Avg DSC	84.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCT	Avg DSC	94.26	—	Unverified
2	Interactive AI-SAM gt box	Avg DSC	93.89	—	Unverified
3	FCT	Avg DSC	93.02	—	Unverified
4	LHU-Net	Avg DSC	92.65	—	Unverified
5	MIST	Avg DSC	92.56	—	Unverified
6	MERIT	Avg DSC	92.32	—	Unverified
7	MERIT-GCASCADE	Avg DSC	92.23	—	Unverified
8	EMCAD	Avg DSC	92.12	—	Unverified
9	Automatic AI-SAM	Avg DSC	92.06	—	Unverified
10	nnFormer	Avg DSC	92.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Stardist	F1	84.6	—	Unverified