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 276–300 of 2089 papers

Title	Date	Tasks	Status	Hype
Medical Image Segmentation via Unsupervised Convolutional Neural Network	Jan 28, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1
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
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation	Mar 16, 2022	HippocampusImage Segmentation	CodeCode Available	1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation	Apr 28, 2020	DecoderImage Segmentation	CodeCode Available	1
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation	Aug 25, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning	Jun 25, 2024	Domain AdaptationImage Segmentation	CodeCode Available	1
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation	Apr 5, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation	Sep 13, 2021	DecoderDomain Generalization	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
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets	Nov 20, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation	Sep 18, 2021	Domain GeneralizationImage Segmentation	CodeCode Available	1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation	Sep 22, 2020	Image SegmentationLesion Segmentation	CodeCode Available	1
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image	Jul 22, 2021	Image Quality AssessmentMedical Image Segmentation	CodeCode Available	1
DivergentNets: Medical Image Segmentation by Network Ensemble	Jul 1, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels	Mar 3, 2022	Anomaly DetectionCardiac Segmentation	CodeCode Available	1
3D U^2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation	Sep 4, 2019	image-classificationImage Classification	CodeCode Available	1
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation	Sep 13, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation	Dec 17, 2024	Contrastive LearningImage Segmentation	CodeCode Available	1
EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices	Oct 19, 2024	DecoderImage Segmentation	CodeCode Available	1
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges	Jul 30, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models	Jun 15, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation	Mar 5, 2024	Image SegmentationMedical Image Analysis	CodeCode Available	1
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation	Jun 9, 2025	Contrastive LearningDiagnostic	CodeCode Available	1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models	Apr 26, 2023	DiversityImage Generation	CodeCode Available	1
Directional Connectivity-based Segmentation of Medical Images	Mar 31, 2023	DisentanglementImage Segmentation	CodeCode Available	1

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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