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 1701–1725 of 2089 papers

Title	Date	Tasks	Status
Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images	Aug 31, 2021	Image SegmentationMedical Image Segmentation	—Unverified
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning	Aug 26, 2021	Few-Shot Semantic SegmentationImage Segmentation	—Unverified
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application	Aug 21, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision	Aug 19, 2021	Domain AdaptationImage Segmentation	—Unverified
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey	Aug 19, 2021	Deep LearningImage Segmentation	—Unverified
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation	Aug 19, 2021	Federated LearningImage Segmentation	—Unverified
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation	Aug 15, 2021	Automatic Liver And Tumor SegmentationImage Segmentation	—Unverified
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation	Aug 13, 2021	Data AugmentationImage Generation	—Unverified
Learning to Segment Medical Images from Few-Shot Sparse Labels	Aug 12, 2021	Few-Shot Semantic SegmentationMedical Image Segmentation	CodeCode Available
Medical image segmentation with imperfect 3D bounding boxes	Aug 6, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Style Curriculum Learning for Robust Medical Image Segmentation	Aug 1, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions	Jul 24, 2021	DecoderImage Segmentation	CodeCode Available
Transductive image segmentation: Self-training and effect of uncertainty estimation	Jul 19, 2021	Image SegmentationMedical Image Analysis	—Unverified
Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation	Jul 16, 2021	Image SegmentationMedical Image Segmentation	—Unverified
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation	Jul 12, 2021	AutoMLImage Segmentation	—Unverified
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation	Jul 12, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available
NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection	Jul 11, 2021	Medical Image SegmentationSegmentation	—Unverified
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation	Jul 10, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Towards Robust General Medical Image Segmentation	Jul 9, 2021	image-classificationImage Classification	CodeCode Available
Differentially private federated deep learning for multi-site medical image segmentation	Jul 6, 2021	Deep LearningFederated Learning	CodeCode Available
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy	Jul 5, 2021	DecoderMedical Image Segmentation	—Unverified
Label noise in segmentation networks : mitigation must deal with bias	Jul 5, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Residual Moment Loss for Medical Image Segmentation	Jun 27, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation	Jun 23, 2021	Domain AdaptationImage Segmentation	—Unverified
Distilling effective supervision for robust medical image segmentation with noisy labels	Jun 21, 2021	Image SegmentationLearning with noisy labels	—Unverified

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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