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 776–800 of 2089 papers

Title	Date	Tasks	Status	Hype
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation	Nov 17, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets	Nov 17, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	0
MPSeg : Multi-Phase strategy for coronary artery Segmentation	Nov 17, 2023	Coronary Artery SegmentationMedical Image Segmentation	—Unverified	0
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification	Nov 17, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation	Nov 17, 2023	DecoderImage Segmentation	CodeCode Available	0
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks	Nov 17, 2023	Brain Tumor SegmentationData Augmentation	—Unverified	0
SSASS: Semi-Supervised Approach for Stenosis Segmentation	Nov 17, 2023	Medical Image SegmentationPseudo Label	—Unverified	0
Slide-SAM: Medical SAM Meets Sliding Window	Nov 16, 2023	AnatomyImage Segmentation	CodeCode Available	1
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation	Nov 15, 2023	Image SegmentationInductive Learning	—Unverified	0
SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage Segmentation	Nov 14, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts	Nov 13, 2023	Image SegmentationInteractive Segmentation	CodeCode Available	0
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation	Nov 13, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
Robust semi-supervised segmentation with timestep ensembling diffusion models	Nov 13, 2023	DenoisingImage Segmentation	—Unverified	0
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images	Nov 10, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation	Nov 10, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation	Nov 8, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Are foundation models efficient for medical image segmentation?	Nov 8, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image Segmentation	Nov 5, 2023	Data AugmentationDomain Generalization	CodeCode Available	0
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling	Nov 3, 2023	FairnessImage Segmentation	CodeCode Available	1
Using DUCK-Net for Polyp Image Segmentation	Nov 3, 2023	Data AugmentationDecoder	CodeCode Available	1
Medical Image Segmentation with Domain Adaptation: A Survey	Nov 3, 2023	Domain AdaptationImage Segmentation	CodeCode Available	2
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation	Nov 2, 2023	GPUImage Segmentation	—Unverified	0
Continual atlas-based segmentation of prostate MRI	Nov 1, 2023	Continual Learningimage-classification	CodeCode Available	1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation	Oct 31, 2023	DecoderDenoising	CodeCode Available	1
Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models	Oct 30, 2023	Image SegmentationMedical Image 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	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