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 1851–1875 of 2089 papers

Title	Date	Tasks	Status
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result Fusion	Dec 11, 2024	GPUImage Segmentation	CodeCode Available
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning	Nov 21, 2023	Contrastive LearningImage Segmentation	CodeCode Available
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net	Jun 25, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation	Oct 21, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters	Feb 9, 2019	Facial Landmark DetectionImage Segmentation	CodeCode Available
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation	Sep 30, 2024	ClassificationDecision Making	CodeCode Available
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency Guidance	Oct 26, 2022	Computed Tomography (CT)GPU	CodeCode Available
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation	Aug 17, 2023	Data AugmentationDiversity	CodeCode Available
DARCNN: Domain Adaptive Region-based Convolutional Neural Network forUnsupervised Instance Segmentation in Biomedical Images	Apr 3, 2021	Instance SegmentationMedical Image Segmentation	CodeCode Available
Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning	Jun 8, 2021	Deep Reinforcement LearningImage Segmentation	CodeCode Available
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation	Nov 17, 2023	DecoderImage Segmentation	CodeCode Available
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation	Feb 11, 2019	Contour DetectionImage Segmentation	CodeCode Available
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation	Jul 16, 2018	Data AugmentationMedical Image Analysis	CodeCode Available
Biomedical SAM 2: Segment Anything in Biomedical Images and Videos	Aug 6, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
We Care Each Pixel: Calibrating on Medical Segmentation Model	Mar 7, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance	Apr 17, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available
Learning With Context Feedback Loop for Robust Medical Image Segmentation	Mar 4, 2021	Deep LearningImage Segmentation	CodeCode Available
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus	Dec 14, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available
Susceptibility of Adversarial Attack on Medical Image Segmentation Models	Jan 20, 2024	Adversarial AttackImage Segmentation	CodeCode Available
Learning To Pay Attention To Mistakes	Jul 29, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available
A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip Arthroplasty	Jun 7, 2023	Active LearningAnatomy	CodeCode Available
Learning Semi-Supervised Medical Image Segmentation from Spatial Registration	Sep 16, 2024	Contrastive LearningImage Segmentation	CodeCode Available
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss	Sep 23, 2020	Medical Image SegmentationSegmentation	CodeCode Available
Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation	Aug 14, 2023	Image SegmentationLesion Segmentation	CodeCode Available
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation	Sep 12, 2024	Image SegmentationMedical Diagnosis	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