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 1576–1600 of 2089 papers

Title	Date	Tasks	Status
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation	Jun 9, 2022	Image SegmentationMedical Image Segmentation	—Unverified
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation	Jun 8, 2022	Contrastive LearningDomain Adaptation	—Unverified
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices	Jun 6, 2022	Image SegmentationMedical Image Segmentation	—Unverified
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training	Jun 5, 2022	Domain AdaptationImage Segmentation	—Unverified
Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation	Jun 3, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation	Jun 3, 2022	Image SegmentationIncremental Learning	—Unverified
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation	Jun 3, 2022	Computed Tomography (CT)Decoder	—Unverified
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives	Jun 2, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection	Jun 2, 2022	Adversarial RobustnessImage Segmentation	—Unverified
Dynamic Linear Transformer for 3D Biomedical Image Segmentation	Jun 1, 2022	3D Medical Imaging SegmentationDecoder	CodeCode Available
Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images	May 31, 2022	GPUImage Segmentation	CodeCode Available
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation	May 30, 2022	Data AugmentationImage Segmentation	CodeCode Available
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images	May 26, 2022	Computed Tomography (CT)Image Segmentation	—Unverified
Structure Unbiased Adversarial Model for Medical Image Segmentation	May 25, 2022	Image SegmentationImage-to-Image Translation	—Unverified
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation	May 24, 2022	Cardiac SegmentationDisentanglement	—Unverified
UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation	May 24, 2022	DecoderImage Segmentation	—Unverified
Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation Models	May 23, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available
Voxel-wise Adversarial Semi-supervised Learning for Medical Image Segmentation	May 14, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation	May 13, 2022	DisentanglementDomain Generalization	—Unverified
Leveraging Global Binary Masks for Structure Segmentation in Medical Images	May 13, 2022	Image SegmentationMedical Image Segmentation	—Unverified
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation	May 10, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available
Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data	May 7, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm	May 7, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation	May 5, 2022	Domain GeneralizationImage Segmentation	—Unverified
Application of belief functions to medical image segmentation: A review	May 3, 2022	Deep LearningImage Segmentation	—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