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 801–825 of 2089 papers

Title	Date	Tasks	Status
Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation	Jun 12, 2021	Contrastive LearningImage Segmentation	—Unverified
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation	Jun 24, 2020	Autonomous DrivingImage Segmentation	—Unverified
Contrastive Re-localization and History Distillation in Federated CMR Segmentation	Sep 16, 2022	Federated LearningImage Segmentation	—Unverified
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images	Apr 8, 2021	Computed Tomography (CT)Decoder	—Unverified
Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation	Apr 3, 2025	Image SegmentationKnowledge Distillation	—Unverified
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets	Apr 18, 2023	Image SegmentationMedical Image Segmentation	—Unverified
3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation	Sep 14, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation	May 13, 2022	DisentanglementDomain Generalization	—Unverified
A Transformer-based Generative Adversarial Network for Brain Tumor Segmentation	Jul 28, 2022	Brain Tumor SegmentationDecoder	—Unverified
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning	Nov 23, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Continuous U-Net: Faster, Greater and Noiseless	Feb 1, 2023	BenchmarkingDecoder	—Unverified
A temporal enhanced semi-supervised segmentation network for needle detection in 3D ultrasound images	May 21, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation	Mar 9, 2025	Image SegmentationInteractive Segmentation	—Unverified
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans	Jan 1, 2023	Continual Semantic SegmentationDecoder	—Unverified
Iterative Deep Convolutional Encoder-Decoder Network for Medical Image Segmentation	Aug 11, 2017	DecoderDeep Learning	—Unverified
J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation	Nov 25, 2024	Data AugmentationImage Segmentation	—Unverified
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers	Jan 26, 2022	Computed Tomography (CT)Image Segmentation	—Unverified
KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation	Sep 30, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans	Feb 1, 2023	Continual Semantic SegmentationDecoder	—Unverified
A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring	Feb 6, 2021	Edge DetectionImage Segmentation	—Unverified
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation	Aug 10, 2016	DiagnosticImage Segmentation	—Unverified
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images	Mar 25, 2021	DecoderImage Segmentation	—Unverified
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection	Mar 28, 2018	Data AugmentationImage Segmentation	—Unverified
0/1 Deep Neural Networks via Block Coordinate Descent	Jun 19, 2022	10-shot image generation	—Unverified
Contextual Hourglass Networks for Segmentation and Density Estimation	Jun 8, 2018	Density EstimationImage Segmentation	—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	SegMed	mean Dice	0.95	—	Unverified
10	DuAT	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	Automatic AI-SAM	Avg DSC	92.06	—	Unverified
10	nnFormer	Avg DSC	92.06	—	Unverified

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