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 651–675 of 2089 papers

Title	Date	Tasks	Status	Hype
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation	Aug 16, 2020	Efficient Neural NetworkImage Segmentation	CodeCode Available	1
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images	Jul 31, 2020	Medical Image SegmentationSegmentation	CodeCode Available	1
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images	Jul 26, 2020	DecoderImage Segmentation	CodeCode Available	1
Learning Directional Feature Maps for Cardiac MRI Segmentation	Jul 22, 2020	Cardiac SegmentationMedical Image Segmentation	CodeCode Available	1
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images	Jul 21, 2020	3D Semantic SegmentationImage Segmentation	CodeCode Available	1
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation	Jul 20, 2020	Cardiac SegmentationFew-Shot Semantic Segmentation	CodeCode Available	1
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation	Jul 20, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1
On uncertainty estimation in active learning for image segmentation	Jul 13, 2020	Active LearningImage Segmentation	CodeCode Available	1
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation	Jul 9, 2020	Data AugmentationImage Segmentation	CodeCode Available	1
Scribble-based Domain Adaptation via Co-segmentation	Jul 7, 2020	Domain AdaptationImage Segmentation	CodeCode Available	1
An Elastic Interaction-Based Loss Function for Medical Image Segmentation	Jul 6, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates	Jul 2, 2020	Deep AttentionImage Segmentation	CodeCode Available	1
Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation	Jun 28, 2020	AnatomyImage Segmentation	CodeCode Available	1
Realistic Adversarial Data Augmentation for MR Image Segmentation	Jun 23, 2020	Data AugmentationImage Segmentation	CodeCode Available	1
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
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
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
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation	Apr 19, 2020	DecoderImage Segmentation	CodeCode Available	1

Show:10 25 50

← PrevPage 27 of 84Next →

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