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 1151–1175 of 2089 papers

Title	Date	Tasks	Status
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior	Mar 27, 2024	AnatomyDecoder	—Unverified
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking	Jun 25, 2025	BenchmarkingImage Segmentation	—Unverified
AI in the Loop -- Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines	May 15, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior	Aug 30, 2022	Computed Tomography (CT)Image Segmentation	—Unverified
A Latent Source Model for Patch-Based Image Segmentation	Oct 6, 2015	Image SegmentationMedical Image Segmentation	—Unverified
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks	Jul 19, 2018	Image SegmentationMedical Image Segmentation	—Unverified
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation	Sep 28, 2021	AllBrain Tumor Segmentation	—Unverified
AMLP:Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation	Sep 8, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation	Feb 1, 2024	Medical Image SegmentationUncertainty Quantification	—Unverified
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation	Nov 3, 2022	Decision MakingImage Segmentation	—Unverified
Analysis of Vision-based Abnormal Red Blood Cell Classification	Jun 1, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation	Mar 21, 2025	Image SegmentationLesion Segmentation	—Unverified
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation	Aug 15, 2022	Image SegmentationMedical Image Segmentation	—Unverified
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation	Jun 18, 2024	FairnessImage Segmentation	—Unverified
An Ensemble Approach for Brain Tumor Segmentation and Synthesis	Nov 26, 2024	Brain Tumor ClassificationBrain Tumor Segmentation	—Unverified
An evaluation of U-Net in Renal Structure Segmentation	Sep 6, 2022	Image SegmentationMedical Image Segmentation	—Unverified
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation	Apr 10, 2024	Image SegmentationMedical Image Analysis	—Unverified
A new Level-set based Protocol for Accurate Bone Segmentation from CT Imaging	May 12, 2015	Image CroppingImage Deconvolution	—Unverified
A New Validity Index for Fuzzy-Possibilistic C-Means Clustering	May 19, 2020	ClusteringImage Segmentation	—Unverified
An Interactive Medical Image Segmentation Framework Using Iterative Refinement	Jun 5, 2016	Image SegmentationMedical Image Segmentation	—Unverified
Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation	Jan 1, 2025	DecoderImage Segmentation	—Unverified
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation	Dec 17, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks	Dec 29, 2018	Image SegmentationMedical Image Segmentation	—Unverified
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning	Dec 29, 2020	Generative Adversarial NetworkImage Segmentation	—Unverified
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation	Feb 8, 2025	3D Medical Imaging SegmentationDomain Adaptation	—Unverified

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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