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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1801–1825 of 2089 papers

Title	Date	Tasks	Status	Hype
Contrastive learning of global and local features for medical image segmentation with limited annotations	Jun 18, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
Cardiac Segmentation with Strong Anatomical Guarantees	Jun 15, 2020	Cardiac SegmentationImage Segmentation	CodeCode Available	1
PraNet: Parallel Reverse Attention Network for Polyp Segmentation	Jun 13, 2020	Camouflaged Object SegmentationCamouflage Segmentation	CodeCode Available	1
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation	Jun 10, 2020	Data AugmentationImage Segmentation	—Unverified	0
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation	Jun 8, 2020	Cell SegmentationColorectal Polyps Characterization	CodeCode Available	1
KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations	Jun 8, 2020	AnatomyImage Segmentation	CodeCode Available	1
Uncertainty quantification in medical image segmentation with normalizing flows	Jun 4, 2020	DiversityImage Segmentation	CodeCode Available	1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation	May 31, 2020	DecoderImage Segmentation	CodeCode Available	1
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks	May 30, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
Enhancing Foreground Boundaries for Medical Image Segmentation	May 29, 2020	Image SegmentationMedical Image Analysis	—Unverified	0
Segmentation Loss Odyssey	May 27, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	2
hidden markov random fields and cuckoo search method for medical image segmentation	May 19, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
A New Validity Index for Fuzzy-Possibilistic C-Means Clustering	May 19, 2020	ClusteringImage Segmentation	—Unverified	0
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks	May 19, 2020	Adversarial RobustnessGeneral Classification	CodeCode Available	0
Medical Image Segmentation Using a U-Net type of Architecture	May 11, 2020	Decoderimage-classification	—Unverified	0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis	May 11, 2020	3D Medical Imaging SegmentationBrain Image Segmentation	CodeCode Available	0
Predicting Scores of Medical Imaging Segmentation Methods with Meta-Learning	May 8, 2020	Deep LearningMedical Image Segmentation	—Unverified	0
Progressive Adversarial Semantic Segmentation	May 8, 2020	AnatomyImage Segmentation	—Unverified	0
How Can CNNs Use Image Position for Segmentation?	May 7, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
Partly Supervised Multitask Learning	May 5, 2020	DiagnosticMedical Image Segmentation	—Unverified	0
Boundary-aware Context Neural Network for Medical Image Segmentation	May 3, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	0
ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation	May 1, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Importance Driven Continual Learning for Segmentation Across Domains	Apr 30, 2020	Brain SegmentationContinual Learning	CodeCode Available	1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation	Apr 28, 2020	DecoderImage Segmentation	CodeCode Available	1
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation	Apr 27, 2020	Domain GeneralizationFew-Shot Learning	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