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 1401–1425 of 2089 papers

Title	Date	Tasks	Status	Hype
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation	Apr 1, 2022	Brain Tumor SegmentationImage Segmentation	CodeCode Available	3
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training	Mar 30, 2022	Domain AdaptationImage Segmentation	—Unverified	0
The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation	Mar 30, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis	Mar 29, 2022	Generative Adversarial NetworkImage Enhancement	CodeCode Available	1
Target and Task specific Source-Free Domain Adaptive Image Segmentation	Mar 29, 2022	DenoisingDomain Adaptation	CodeCode Available	1
Translation Consistent Semi-supervised Segmentation for 3D Medical Images	Mar 28, 2022	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation	Mar 26, 2022	Domain AdaptationImage Segmentation	—Unverified	0
Learning to segment fetal brain tissue from noisy annotations	Mar 25, 2022	Brain SegmentationDeep Learning	—Unverified	0
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels	Mar 23, 2022	Domain AdaptationImage Segmentation	CodeCode Available	1
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers	Mar 21, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation	Mar 21, 2022	Image SegmentationImputation	—Unverified	0
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis	Mar 21, 2022	DecoderImage Segmentation	CodeCode Available	1
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing	Mar 20, 2022	Face RecognitionImage Segmentation	CodeCode Available	1
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation	Mar 19, 2022	Domain AdaptationImage Segmentation	—Unverified	0
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation	Mar 18, 2022	Federated LearningImage Segmentation	—Unverified	0
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation	Mar 16, 2022	HippocampusImage Segmentation	CodeCode Available	1
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation	Mar 16, 2022	Image SegmentationMedical Image Analysis	—Unverified	0
CapsNet for Medical Image Segmentation	Mar 16, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation	Mar 16, 2022	Image SegmentationKnowledge Distillation	CodeCode Available	1
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation	Mar 16, 2022	Image SegmentationMedical Image Analysis	CodeCode Available	1
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation	Mar 12, 2022	Federated LearningHyperparameter Optimization	—Unverified	0
Medical Image Segmentation on MRI Images with Missing Modalities: A Review	Mar 11, 2022	Image GenerationImage Segmentation	—Unverified	0
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond	Mar 11, 2022	DecoderMedical Image Analysis	—Unverified	0
On-the-Fly Test-time Adaptation for Medical Image Segmentation	Mar 10, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation	Mar 10, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0

Show:10 25 50

← PrevPage 57 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	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