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 1776–1800 of 2089 papers

Title	Date	Tasks	Status
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training	Sep 21, 2023	Contrastive LearningDecoder	CodeCode Available
Multi-encoder parse-decoder network for sequential medical image segmentation	Sep 19, 2021	DecoderImage Segmentation	CodeCode Available
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation	Mar 25, 2024	DecoderHippocampus	CodeCode Available
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and Visualization	Jun 24, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps	Nov 12, 2019	Edge DetectionImage Segmentation	CodeCode Available
Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet	Aug 6, 2023	Image SegmentationLearning with coarse labels	CodeCode Available
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks	Sep 1, 2017	Brain Tumor SegmentationMedical Image Segmentation	CodeCode Available
Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation	Jun 18, 2020	Autonomous DrivingClassification	CodeCode Available
Spinal cord gray matter segmentation using deep dilated convolutions	Oct 2, 2017	Medical Image SegmentationSegmentation	CodeCode Available
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning	Dec 18, 2024	Federated LearningImage Segmentation	CodeCode Available
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification	Jun 29, 2023	Active LearningClassification	CodeCode Available
PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation	May 10, 2024	Contrastive LearningDecoder	CodeCode Available
ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation	Jun 12, 2025	Domain GeneralizationImage Segmentation	CodeCode Available
Detection-aided liver lesion segmentation using deep learning	Nov 29, 2017	Computed Tomography (CT)Deep Learning	CodeCode Available
SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation	Jun 11, 2025	Domain AdaptationImage Segmentation	CodeCode Available
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution	Dec 4, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation	Jun 12, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation	Jun 24, 2024	Computational EfficiencyImage Segmentation	CodeCode Available
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation	Mar 18, 2024	Data AugmentationDomain Generalization	CodeCode Available
More complex encoder is not all you need	Sep 20, 2023	AllDecoder	CodeCode Available
Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation	May 5, 2025	Adversarial AttackAdversarial Robustness	CodeCode Available
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model	Dec 3, 2018	Image SegmentationMedical Image Segmentation	CodeCode Available
SSHNN: Semi-Supervised Hybrid NAS Network for Echocardiographic Image Segmentation	Sep 9, 2023	DecoderImage Segmentation	CodeCode Available
SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image Segmentation	Nov 5, 2023	Data AugmentationDomain Generalization	CodeCode Available
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation	Jan 12, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available

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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