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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 176–200 of 2089 papers

Title	Date	Tasks	Status	Hype
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation	Jun 8, 2023	DisentanglementDomain Adaptation	CodeCode Available	1
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation	Sep 12, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation	Feb 2, 2022	DecoderImage Segmentation	CodeCode Available	1
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation	Dec 30, 2020	Colorectal Polyps CharacterizationDecision Making	CodeCode Available	1
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation	Nov 26, 2021	Brain Tumor SegmentationDecoder	CodeCode Available	1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?	Mar 9, 2020	Image SegmentationLesion Segmentation	CodeCode Available	1
BDG-Net: Boundary Distribution Guided Network for Accurate Polyp Segmentation	Jan 3, 2022	DecoderMedical Image Segmentation	CodeCode Available	1
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective	Nov 16, 2020	Medical DiagnosisMedical Image Segmentation	CodeCode Available	1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation	Jan 3, 2022	DecoderImage Segmentation	CodeCode Available	1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation	Mar 15, 2024	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1
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
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers	Oct 9, 2023	Heart SegmentationImage Generation	CodeCode Available	1
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation	Sep 23, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation	Jul 27, 2022	Data AugmentationDeep Reinforcement Learning	CodeCode Available	1
Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR	Feb 29, 2024	DecoderMedical Image Segmentation	CodeCode Available	1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?	Jan 1, 2021	AllImage Segmentation	CodeCode Available	1
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks	Sep 3, 2021	DecoderImage Segmentation	CodeCode Available	1
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation	Jul 11, 2021	ClusteringImage Segmentation	CodeCode Available	1
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion Segmentation	Mar 25, 2025	Image SegmentationLesion Segmentation	CodeCode Available	1
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation	Jul 7, 2024	DecoderImage Segmentation	CodeCode Available	1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation	May 31, 2020	DecoderImage Segmentation	CodeCode Available	1
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice Attention	Apr 30, 2024	Computational EfficiencyImage Segmentation	CodeCode Available	1
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation	Feb 13, 2023	DiagnosticImage Segmentation	CodeCode Available	1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation	May 19, 2022	DecoderHippocampus	CodeCode Available	1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging	Nov 25, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1

Show:10 25 50

← PrevPage 8 of 84Next →

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