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 1751–1775 of 2089 papers

Title	Date	Tasks	Status	Hype
RAR-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels	Sep 27, 2020	DecoderDenoising	—Unverified	0
Going to Extremes: Weakly Supervised Medical Image Segmentation	Sep 25, 2020	BIG-bench Machine LearningImage Segmentation	CodeCode Available	0
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss	Sep 23, 2020	Medical Image SegmentationSegmentation	CodeCode Available	0
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation	Sep 22, 2020	Image SegmentationLesion Segmentation	CodeCode Available	1
MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation	Sep 21, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	3
SESV: Accurate Medical Image Segmentation byPredicting and Correcting Errors	Sep 21, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation	Sep 16, 2020	DecoderImage Segmentation	—Unverified	0
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation	Sep 11, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning	Sep 10, 2020	Medical Image SegmentationRetinal OCT Layer Segmentation	CodeCode Available	0
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans	Sep 10, 2020	GPUImage Segmentation	CodeCode Available	1
Semi-supervised Medical Image Segmentation through Dual-task Consistency	Sep 9, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
Quality-aware semi-supervised learning for CMR segmentation	Sep 1, 2020	Data AugmentationImage Segmentation	—Unverified	0
On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking	Sep 1, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors Before and After Stereotactic Radiation Therapy	Aug 27, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information	Aug 27, 2020	Domain GeneralizationImage Segmentation	—Unverified	0
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation	Aug 16, 2020	Efficient Neural NetworkImage Segmentation	CodeCode Available	1
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis	Aug 12, 2020	3D Medical Imaging SegmentationBrain Image Segmentation	CodeCode Available	0
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images	Jul 31, 2020	Medical Image SegmentationSegmentation	CodeCode Available	1
Learning To Pay Attention To Mistakes	Jul 29, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	0
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
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation	Jul 20, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation	Jul 20, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation	Jul 20, 2020	Cardiac SegmentationFew-Shot Semantic Segmentation	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