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 1076–1100 of 2089 papers

Title	Date	Tasks	Status
Semi-Supervised Segmentation via Embedding Matching	Jul 5, 2024	Image SegmentationMedical Image Segmentation	—Unverified
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness	Jul 2, 2024	Federated LearningImage Segmentation	CodeCode Available
Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs	Jul 1, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation	Jun 29, 2024	Federated LearningImage Segmentation	—Unverified
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation	Jun 28, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO	Jun 27, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation	Jun 27, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation	Jun 26, 2024	Continual LearningDomain Generalization	CodeCode Available
Medical Image Segmentation Using Directional Window Attention	Jun 25, 2024	Cell SegmentationDiagnostic	CodeCode Available
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation	Jun 24, 2024	Computational EfficiencyImage Segmentation	CodeCode Available
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and Visualization	Jun 24, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
Self-Supervised Alignment Learning for Medical Image Segmentation	Jun 22, 2024	Contrastive LearningImage Segmentation	—Unverified
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation	Jun 21, 2024	Image SegmentationMedical Image Segmentation	—Unverified
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation	Jun 20, 2024	Data AugmentationDomain Generalization	—Unverified
Trusting Semantic Segmentation Networks	Jun 20, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation	Jun 19, 2024	Continual LearningImage Segmentation	—Unverified
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation	Jun 18, 2024	FairnessImage Segmentation	—Unverified
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes	Jun 17, 2024	Data AugmentationImage Generation	—Unverified
Boosting Medical Image Classification with Segmentation Foundation Model	Jun 16, 2024	Classificationimage-classification	—Unverified
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation	Jun 15, 2024	Image SegmentationMedical Image Analysis	—Unverified
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency	Jun 14, 2024	AnatomyBrain Tumor Segmentation	CodeCode Available
Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation	Jun 7, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Interactive Image Selection and Training for Brain Tumor Segmentation Network	Jun 5, 2024	Brain Tumor SegmentationDiversity	—Unverified
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation	Jun 5, 2024	BenchmarkingImage Segmentation	—Unverified
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation	Jun 4, 2024	Brain Tumor SegmentationDiagnostic	—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