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 1176–1200 of 2089 papers

Title	Date	Tasks	Status	Hype
Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation	Dec 19, 2022	DecoderImage Segmentation	CodeCode Available	1
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation	Dec 17, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision	Dec 14, 2022	Brain Tumor SegmentationDomain Adaptation	CodeCode Available	0
Efficient Bayesian Uncertainty Estimation for nnU-Net	Dec 12, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation	Dec 8, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Few-shot Medical Image Segmentation with Cycle-resemblance Attention	Dec 7, 2022	Few-Shot LearningImage Segmentation	—Unverified	0
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data	Dec 6, 2022	Brain Image SegmentationImage Registration	CodeCode Available	0
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation	Dec 5, 2022	Domain AdaptationImage Segmentation	CodeCode Available	1
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters	Dec 1, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation	Nov 28, 2022	Domain AdaptationImage Segmentation	—Unverified	0
Medical Image Segmentation Review: The success of U-Net	Nov 27, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation	Nov 27, 2022	Data AugmentationDiversity	CodeCode Available	1
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images	Nov 25, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation	Nov 22, 2022	DisentanglementDomain Generalization	CodeCode Available	1
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation	Nov 21, 2022	Domain AdaptationImage Segmentation	CodeCode Available	1
Convolutional neural networks for medical image segmentation	Nov 17, 2022	ClassificationImage Segmentation	—Unverified	0
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation	Nov 17, 2022	feature selectionImage Segmentation	—Unverified	0
Prompt Tuning for Parameter-efficient Medical Image Segmentation	Nov 16, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation	Nov 15, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation	Nov 15, 2022	Data AugmentationMedical Image Segmentation	—Unverified	0
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning	Nov 15, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation	Nov 15, 2022	ClusteringContrastive Learning	—Unverified	0
Feedback Chain Network For Hippocampus Segmentation	Nov 15, 2022	Decoderfeature selection	—Unverified	0
Learning from partially labeled data for multi-organ and tumor segmentation	Nov 13, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CT	Nov 11, 2022	Image SegmentationKnowledge Distillation	CodeCode Available	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