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 1801–1825 of 2089 papers

Title	Date	Tasks	Status
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images	Nov 11, 2020	Computed Tomography (CT)Image Segmentation	—Unverified
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation	Nov 8, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Distribution-aware Margin Calibration for Medical Image Segmentation	Nov 3, 2020	Image SegmentationMedical Image Segmentation	—Unverified
U-Net and its variants for medical image segmentation: theory and applications	Nov 2, 2020	Image SegmentationMedical Image Analysis	—Unverified
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples	Oct 29, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index	Oct 26, 2020	Image SegmentationMedical Image Segmentation	—Unverified
What is Wrong with Continual Learning in Medical Image Segmentation?	Oct 21, 2020	Continual LearningDiagnostic	—Unverified
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation	Oct 19, 2020	Image SegmentationLesion Segmentation	—Unverified
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions	Oct 13, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Selective Information Passing for MR/CT Image Segmentation	Oct 10, 2020	DecoderImage Segmentation	CodeCode Available
Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation	Oct 4, 2020	Cardiac SegmentationImage Segmentation	—Unverified
Medical Image Segmentation Using Deep Learning: A Survey	Sep 28, 2020	Data AugmentationDeep Learning	CodeCode Available
RAR-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels	Sep 27, 2020	DecoderDenoising	—Unverified
Going to Extremes: Weakly Supervised Medical Image Segmentation	Sep 25, 2020	BIG-bench Machine LearningImage Segmentation	CodeCode Available
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss	Sep 23, 2020	Medical Image SegmentationSegmentation	CodeCode Available
SESV: Accurate Medical Image Segmentation byPredicting and Correcting Errors	Sep 21, 2020	Image SegmentationMedical Image Segmentation	—Unverified
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation	Sep 16, 2020	DecoderImage Segmentation	—Unverified
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation	Sep 11, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available
Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning	Sep 10, 2020	Medical Image SegmentationRetinal OCT Layer Segmentation	CodeCode Available
Semi-supervised Medical Image Segmentation through Dual-task Consistency	Sep 9, 2020	Image SegmentationMedical Image Segmentation	—Unverified
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
Quality-aware semi-supervised learning for CMR segmentation	Sep 1, 2020	Data AugmentationImage Segmentation	—Unverified
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information	Aug 27, 2020	Domain GeneralizationImage Segmentation	—Unverified
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
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis	Aug 12, 2020	3D Medical Imaging SegmentationBrain Image Segmentation	CodeCode Available

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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	SegMed	mean Dice	0.95	—	Unverified
10	DuAT	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	Automatic AI-SAM	Avg DSC	92.06	—	Unverified
10	nnFormer	Avg DSC	92.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Stardist	F1	84.6	—	Unverified