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 176–200 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
Directional Connectivity-based Segmentation of Medical Images	Mar 31, 2023	DisentanglementImage Segmentation	CodeCode Available	1	5
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation	Jun 8, 2023	DisentanglementDomain Adaptation	CodeCode Available	1	5
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion Segmentation	Nov 28, 2023	DecoderDiversity	CodeCode Available	1	5
D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation	Jan 3, 2022	DecoderImage 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
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks	Mar 28, 2020	3D Medical Imaging SegmentationAction Recognition	CodeCode Available	1	5
CENet: Context Enhancement Network for Medical Image Segmentation	May 23, 2025	DecoderImage Segmentation	CodeCode Available	1	5
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation	Dec 11, 2023	Domain AdaptationDomain Generalization	CodeCode Available	1	5
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation	Sep 26, 2023	DecoderImage Segmentation	CodeCode Available	1	5
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation	Sep 13, 2021	DecoderDomain Generalization	CodeCode Available	1	5
E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 Challenge	Oct 6, 2021	Brain Tumor SegmentationDecoder	CodeCode Available	1	5
Brain Tumor Segmentation with Deep Neural Networks	May 13, 2015	Brain Tumor SegmentationMedical Image Segmentation	CodeCode Available	1	5
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers	Oct 9, 2023	Heart SegmentationImage Generation	CodeCode Available	1	5
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation	Jul 27, 2022	Data AugmentationDeep Reinforcement Learning	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
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective	Nov 16, 2020	Medical DiagnosisMedical Image Segmentation	CodeCode Available	1	5
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation	Jun 9, 2025	Contrastive LearningDiagnostic	CodeCode Available	1	5
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation	Jul 11, 2021	ClusteringImage Segmentation	CodeCode Available	1	5
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion Segmentation	Mar 25, 2025	Image SegmentationLesion Segmentation	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
Cardiac Segmentation with Strong Anatomical Guarantees	Jun 15, 2020	Cardiac SegmentationImage Segmentation	CodeCode Available	1	5
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice Attention	Apr 30, 2024	Computational EfficiencyImage 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
Boundary-Aware Network for Kidney Parsing	Aug 29, 2022	DecoderImage Segmentation	CodeCode Available	1	5
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging	Nov 25, 2024	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	DuAT	mean Dice	0.95	—	Unverified
10	SegMed	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	nnFormer	Avg DSC	92.06	—	Unverified
10	Automatic AI-SAM	Avg DSC	92.06	—	Unverified

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