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 501–525 of 2089 papers

Title	Date	Tasks	Status	Hype
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)	May 20, 2022	AnatomyImage Segmentation	CodeCode Available	1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation	May 19, 2022	DecoderHippocampus	CodeCode Available	1
ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation	May 17, 2022	DecoderMedical Image Segmentation	CodeCode Available	1
TGANet: Text-guided attention for improved polyp segmentation	May 9, 2022	AttributeMedical Image Segmentation	CodeCode Available	1
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation	May 4, 2022	Federated LearningImage Segmentation	CodeCode Available	1
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization	Apr 20, 2022	Cardiac SegmentationDomain Adaptation	CodeCode Available	1
Continual Hippocampus Segmentation with Transformers	Apr 17, 2022	Continual LearningHippocampus	CodeCode Available	1
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation	Apr 16, 2022	Federated LearningImage Segmentation	CodeCode Available	1
Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image Segmentation	Apr 15, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Federated Cross Learning for Medical Image Segmentation	Apr 5, 2022	Ensemble LearningFederated Learning	CodeCode Available	1
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation	Apr 5, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation	Apr 2, 2022	Face IdentificationImage Segmentation	CodeCode Available	1
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
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels	Mar 23, 2022	Domain AdaptationImage Segmentation	CodeCode Available	1
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
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
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation	Mar 16, 2022	HippocampusImage Segmentation	CodeCode Available	1
On-the-Fly Test-time Adaptation for Medical Image Segmentation	Mar 10, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation	Mar 9, 2022	DecoderImage Segmentation	CodeCode Available	1
Stepwise Feature Fusion: Local Guides Global	Mar 7, 2022	DecoderImage Segmentation	CodeCode Available	1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision	Mar 3, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1

Show:10 25 50

← PrevPage 21 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