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 226–250 of 2089 papers

Title	Date	Tasks	Status	Hype
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation	Jan 5, 2025	DenoisingImage Generation	—Unverified	0
KM-UNet KAN Mamba UNet for medical image segmentation	Jan 5, 2025	Computational EfficiencyImage Segmentation	CodeCode Available	1
tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation	Jan 4, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation	Jan 3, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training	Jan 3, 2025	Computational EfficiencyImage Segmentation	—Unverified	0
Merging Context Clustering with Visual State Space Models for Medical Image Segmentation	Jan 3, 2025	ClusteringImage Segmentation	CodeCode Available	2
nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation	Jan 2, 2025	DecoderImage Segmentation	—Unverified	0
EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation	Jan 1, 2025	DecoderImage Segmentation	CodeCode Available	1
Take the Bull by the Horns: Learning to Segment Hard Samples	Jan 1, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation	Jan 1, 2025	Contrastive LearningImage Segmentation	—Unverified	0
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation	Jan 1, 2025	DecoderImage Segmentation	—Unverified	0
The Impact Label Noise and Choice of Threshold has on Cross-Entropy and Soft-Dice in Image Segmentation	Jan 1, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation	Jan 1, 2025	DiversityImage Segmentation	—Unverified	0
Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation	Jan 1, 2025	DecoderImage Segmentation	—Unverified	0
SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies	Dec 28, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation	Dec 27, 2024	Contrastive LearningImage Segmentation	—Unverified	0
ProKAN: Progressive Stacking of Kolmogorov-Arnold Networks for Efficient Liver Segmentation	Dec 27, 2024	Image SegmentationKolmogorov-Arnold Networks	—Unverified	0
Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging Segmentation	Dec 26, 2024	Decision MakingDiagnostic	CodeCode Available	1
Federated Learning with Partially Labeled Data: A Conditional Distillation Approach	Dec 25, 2024	Federated LearningImage Segmentation	—Unverified	0
HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image Segmentation	Dec 25, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image Segmentation	Dec 23, 2024	Breast Cancer DetectionDecoder	CodeCode Available	1
PINN-EMFNet: PINN-based and Enhanced Multi-Scale Feature Fusion Network for Breast Ultrasound Images Segmentation	Dec 22, 2024	DecoderImage Segmentation	—Unverified	0
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation	Dec 20, 2024	Auxiliary LearningImage Segmentation	CodeCode Available	0
Efficient MedSAMs: Segment Anything in Medical Images on Laptop	Dec 20, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	7
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation	Dec 19, 2024	Domain GeneralizationImage Segmentation	CodeCode Available	0

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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