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 101–125 of 2089 papers

Title	Date	Tasks	Status	Hype
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development	Apr 10, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging	Apr 9, 2025	DiagnosticImage Segmentation	—Unverified	0
Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature Fusion	Apr 8, 2025	2D Semantic SegmentationImage Segmentation	CodeCode Available	0
HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention Modeling	Apr 8, 2025	DecoderGPU	CodeCode Available	1
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors	Apr 7, 2025	Image SegmentationInformativeness	—Unverified	0
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation	Apr 6, 2025	Brain Tumor SegmentationImage Segmentation	—Unverified	0
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan	Apr 5, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Multi-encoder nnU-Net outperforms Transformer models with self-supervised pretraining	Apr 4, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation	Apr 4, 2025	Image SegmentationLesion Segmentation	—Unverified	0
Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation	Apr 3, 2025	Image SegmentationKnowledge Distillation	—Unverified	0
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation	Apr 3, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates	Apr 2, 2025	Computational EfficiencyImage Segmentation	—Unverified	0
STPNet: Scale-aware Text Prompt Network for Medical Image Segmentation	Apr 2, 2025	Image SegmentationLanguage Modeling	CodeCode Available	1
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists	Apr 1, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Deconver: A Deconvolutional Network for Medical Image Segmentation	Apr 1, 2025	Image RestorationImage Segmentation	CodeCode Available	0
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation	Mar 31, 2025	Image SegmentationMedical Image Analysis	—Unverified	0
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation	Mar 30, 2025	Federated LearningImage Segmentation	—Unverified	0
BiPVL-Seg: Bidirectional Progressive Vision-Language Fusion with Global-Local Alignment for Medical Image Segmentation	Mar 30, 2025	cross-modal alignmentImage Segmentation	CodeCode Available	1
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation	Mar 28, 2025	AnatomyClustering	CodeCode Available	0
Zero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study	Mar 28, 2025	Domain GeneralizationImage Segmentation	—Unverified	0
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation	Mar 26, 2025	Federated LearningImage Segmentation	—Unverified	0
Show and Segment: Universal Medical Image Segmentation via In-Context Learning	Mar 25, 2025	Image SegmentationIn-Context Learning	—Unverified	0
Prompt-Guided Dual-Path UNet with Mamba for Medical Image Segmentation	Mar 25, 2025	Image SegmentationKolmogorov-Arnold Networks	—Unverified	0
Optimization of MedSAM model based on bounding box adaptive perturbation algorithm	Mar 25, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion Segmentation	Mar 25, 2025	Image SegmentationLesion 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	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