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 1451–1475 of 2089 papers

Title	Date	Tasks	Status
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations	Mar 21, 2024	image-classificationImage Classification	—Unverified
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation	Jun 21, 2024	Image SegmentationMedical Image Segmentation	—Unverified
SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation	Apr 29, 2025	General KnowledgeImage Segmentation	—Unverified
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model	Apr 10, 2023	Image GenerationImage Segmentation	—Unverified
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation	Jul 6, 2024	General KnowledgeImage Segmentation	—Unverified
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting	Nov 26, 2024	Few-Shot LearningImage Segmentation	—Unverified
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes	Apr 28, 2023	Image SegmentationMedical Image Analysis	—Unverified
Scalable Neural Architecture Search for 3D Medical Image Segmentation	Jun 13, 2019	DecoderImage Segmentation	—Unverified
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images	May 30, 2023	Image SegmentationImage Super-Resolution	—Unverified
SCOPE: Structural Continuity Preservation for Medical Image Segmentation	Apr 28, 2023	AnatomyImage Segmentation	—Unverified
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions	Mar 10, 2023	DenoisingImage Segmentation	—Unverified
Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition	Jul 8, 2016	Image SegmentationMedical Image Segmentation	—Unverified
Screen Content Image Segmentation Using Sparse-Smooth Decomposition	Nov 21, 2015	ClusteringDenoising	—Unverified
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision	Mar 4, 2022	Image SegmentationMedical Image Segmentation	—Unverified
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation	May 18, 2023	Domain AdaptationImage Segmentation	—Unverified
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation	Jul 10, 2024	Domain AdaptationDomain Generalization	—Unverified
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation	Jun 10, 2020	Data AugmentationImage Segmentation	—Unverified
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma	Dec 28, 2021	Computed Tomography (CT)Image Segmentation	—Unverified
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation	Nov 21, 2024	Computed Tomography (CT)Image Segmentation	—Unverified
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging	Mar 25, 2024	Few-Shot LearningImage Segmentation	—Unverified
SegMatch: A semi-supervised learning method for surgical instrument segmentation	Aug 9, 2023	Medical Image SegmentationPseudo Label	—Unverified
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO	Jun 27, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification	Nov 17, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation	Oct 31, 2017	Image SegmentationMedical Image Segmentation	—Unverified
Segmentation of Microscopy Data for finding Nuclei in Divergent Images	Aug 19, 2018	Cell SegmentationImage 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	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