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 901–925 of 2089 papers

Title	Date	Tasks	Status	Hype
From CNN to Transformer: A Review of Medical Image Segmentation Models	Aug 10, 2023	Image SegmentationMedical Image Analysis	—Unverified	0
Masked Diffusion as Self-supervised Representation Learner	Aug 10, 2023	DenoisingMedical Image Segmentation	CodeCode Available	1
SegMatch: A semi-supervised learning method for surgical instrument segmentation	Aug 9, 2023	Medical Image SegmentationPseudo Label	—Unverified	0
Redesigning Out-of-Distribution Detection on 3D Medical Images	Aug 7, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
Feature Decoupling-Recycling Network for Fast Interactive Segmentation	Aug 7, 2023	Image SegmentationInteractive Segmentation	—Unverified	0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation	Aug 7, 2023	Dimensionality ReductionImage Segmentation	CodeCode Available	0
Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet	Aug 6, 2023	Image SegmentationLearning with coarse labels	CodeCode Available	0
Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation	Aug 2, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
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	0
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation	Aug 2, 2023	image-classificationImage Classification	—Unverified	0
CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion	Aug 2, 2023	Image SegmentationInductive Bias	CodeCode Available	1
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation	Aug 1, 2023	BenchmarkingBrain Tumor Segmentation	—Unverified	0
Boundary Difference Over Union Loss For Medical Image Segmentation	Aug 1, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
A hybrid approach for improving U-Net variants in medical image segmentation	Jul 31, 2023	Image SegmentationLesion Segmentation	—Unverified	0
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging	Jul 31, 2023	Image SegmentationInformativeness	—Unverified	0
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training	Jul 31, 2023	Domain AdaptationImage Segmentation	CodeCode Available	0
ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding	Jul 30, 2023	Decision MakingImage Segmentation	CodeCode Available	1
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges	Jul 30, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks	Jul 30, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Cross-dimensional transfer learning in medical image segmentation with deep learning	Jul 29, 2023	image-classificationImage Classification	CodeCode Available	0
Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation	Jul 28, 2023	Image SegmentationManagement	CodeCode Available	0
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data	Jul 27, 2023	Brain Image SegmentationImage Registration	CodeCode Available	0
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation	Jul 27, 2023	Image SegmentationMedical Image Analysis	CodeCode Available	1
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling	Jul 26, 2023	Classificationdomain classification	CodeCode Available	1
Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization	Jul 26, 2023	Image SegmentationMedical Image Segmentation	—Unverified	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