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 1301–1325 of 2089 papers

Title	Date	Tasks	Status
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation	Aug 28, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars	Aug 27, 2023	Brain Tumor SegmentationImage Segmentation	—Unverified
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation	Aug 26, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Tumor-Centered Patching for Enhanced Medical Image Segmentation	Aug 23, 2023	Computational EfficiencyImage Segmentation	—Unverified
Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders	Aug 21, 2023	Image SegmentationMedical Image Segmentation	—Unverified
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation	Aug 17, 2023	Data AugmentationDiversity	CodeCode Available
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks	Aug 16, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation	Aug 15, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
DSFNet: Dual-GCN and Location-fused Self-attention with Weighted Fast Normalized Fusion for Polyps Segmentation	Aug 15, 2023	Brain Tumor SegmentationDecoder	CodeCode Available
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation	Aug 14, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation	Aug 14, 2023	Image SegmentationLesion Segmentation	CodeCode Available
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets	Aug 14, 2023	DiagnosticImage Segmentation	—Unverified
CATS v2: Hybrid encoders for robust medical segmentation	Aug 11, 2023	Domain AdaptationImage Segmentation	CodeCode Available
From CNN to Transformer: A Review of Medical Image Segmentation Models	Aug 10, 2023	Image SegmentationMedical Image Analysis	—Unverified
SegMatch: A semi-supervised learning method for surgical instrument segmentation	Aug 9, 2023	Medical Image SegmentationPseudo Label	—Unverified
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation	Aug 7, 2023	Dimensionality ReductionImage Segmentation	CodeCode Available
Redesigning Out-of-Distribution Detection on 3D Medical Images	Aug 7, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Feature Decoupling-Recycling Network for Fast Interactive Segmentation	Aug 7, 2023	Image SegmentationInteractive Segmentation	—Unverified
Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet	Aug 6, 2023	Image SegmentationLearning with coarse labels	CodeCode Available
Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation	Aug 2, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies	Aug 2, 2023	Anomaly DetectionImage Segmentation	CodeCode Available
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation	Aug 2, 2023	image-classificationImage Classification	—Unverified
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation	Aug 1, 2023	BenchmarkingBrain Tumor Segmentation	—Unverified
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training	Jul 31, 2023	Domain AdaptationImage Segmentation	CodeCode Available
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging	Jul 31, 2023	Image SegmentationInformativeness	—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