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	Hype
MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder	Oct 30, 2023	DecoderImage Segmentation	CodeCode Available	1
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation	Oct 27, 2023	DenoisingDomain Adaptation	—Unverified	0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation	Oct 26, 2023	Brain Tumor SegmentationDecoder	—Unverified	0
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation	Oct 25, 2023	Image SegmentationMedical Image Analysis	CodeCode Available	1
Trust, but Verify: Robust Image Segmentation using Deep Learning	Oct 25, 2023	Deep LearningImage Segmentation	—Unverified	0
Robust Source-Free Domain Adaptation for Fundus Image Segmentation	Oct 25, 2023	Domain AdaptationImage Segmentation	CodeCode Available	1
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation	Oct 24, 2023	DecoderImage Segmentation	CodeCode Available	1
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images	Oct 23, 2023	3D ArchitectureImage Segmentation	CodeCode Available	2
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation	Oct 21, 2023	Image SegmentationLeft Atrium Segmentation	—Unverified	0
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks	Oct 20, 2023	DecoderImage Segmentation	—Unverified	0
Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency Modeling	Oct 20, 2023	DecoderImage Segmentation	CodeCode Available	0
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation	Oct 19, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model	Oct 19, 2023	Data AugmentationImage Generation	CodeCode Available	1
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation	Oct 18, 2023	Domain AdaptationImage Segmentation	—Unverified	0
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation	Oct 17, 2023	Domain AdaptationDomain Generalization	CodeCode Available	1
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation	Oct 17, 2023	Brain Tumor SegmentationFederated Learning	CodeCode Available	0
Medical Image Segmentation via Sparse Coding Decoder	Oct 17, 2023	DecoderImage Segmentation	—Unverified	0
SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation	Oct 16, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration	Oct 13, 2023	DiversityImage Segmentation	—Unverified	0
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentation	Oct 13, 2023	3D Semantic SegmentationComputed Tomography (CT)	CodeCode Available	0
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors	Oct 12, 2023	Image SegmentationMedical Image Analysis	—Unverified	0
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers	Oct 11, 2023	DecoderImage Segmentation	CodeCode Available	4
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation	Oct 9, 2023	Image SegmentationLesion Segmentation	CodeCode Available	1
Empirical Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation	Oct 9, 2023	Brain Tumor SegmentationData Augmentation	—Unverified	0
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers	Oct 9, 2023	Heart SegmentationImage Generation	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	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