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 151–175 of 2089 papers

Title	Date	Tasks	Status	Hype
3D Medical Imaging Segmentation on Non-Contrast CT	Mar 11, 2025	3D Medical Imaging SegmentationImage Segmentation	—Unverified	0
QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter	Mar 10, 2025	DiagnosticImage Segmentation	—Unverified	0
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation	Mar 10, 2025	Image SegmentationKnowledge Distillation	—Unverified	0
Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models	Mar 10, 2025	General KnowledgeImage Segmentation	—Unverified	0
Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation	Mar 9, 2025	Image SegmentationInteractive Segmentation	—Unverified	0
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion	Mar 9, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Dynamically evolving segment anything model with continuous learning for medical image segmentation	Mar 8, 2025	DiversityImage Segmentation	—Unverified	0
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation	Mar 7, 2025	Image SegmentationMedical Image Analysis	—Unverified	0
Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation	Mar 7, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
We Care Each Pixel: Calibrating on Medical Segmentation Model	Mar 7, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining	Mar 6, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation	Mar 6, 2025	Active LearningImage Segmentation	—Unverified	0
GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data	Mar 6, 2025	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1
Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching	Mar 5, 2025	Data AugmentationFew-Shot Learning	—Unverified	0
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation	Mar 5, 2025	DecoderImage Segmentation	—Unverified	0
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation	Mar 4, 2025	Federated LearningImage Segmentation	CodeCode Available	1
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation	Mar 3, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
SparseMamba-PCL: Scribble-Supervised Medical Image Segmentation via SAM-Guided Progressive Collaborative Learning	Mar 3, 2025	DecoderImage Segmentation	CodeCode Available	0
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image Segmentation	Mar 3, 2025	BenchmarkingComputational Efficiency	CodeCode Available	1
UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection	Feb 28, 2025	Anomaly DetectionImage Classification	CodeCode Available	2
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models	Feb 28, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction	Feb 28, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation	Feb 28, 2025	Data AugmentationImage Segmentation	CodeCode Available	0
Test-Time Modality Generalization for Medical Image Segmentation	Feb 27, 2025	Domain GeneralizationImage Segmentation	—Unverified	0
VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRA	Feb 25, 2025	Computational EfficiencyImage 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