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 1551–1575 of 2089 papers

Title	Date	Tasks	Status
ConvUNeXt: An efficient convolution neural network for medical image segmentation	Jul 25, 2022	DecoderImage Segmentation	CodeCode Available
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training	Jul 24, 2022	Brain Tumor SegmentationImage Segmentation	—Unverified
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction	Jul 22, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness	Jul 22, 2022	DiversityImage Segmentation	—Unverified
Large-Kernel Attention for 3D Medical Image Segmentation	Jul 19, 2022	Computed Tomography (CT)Image Segmentation	—Unverified
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation	Jul 17, 2022	Anomaly DetectionImage Segmentation	—Unverified
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video	Jul 15, 2022	Lesion DetectionLesion Segmentation	CodeCode Available
A Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images	Jul 13, 2022	General ClassificationMedical Image Segmentation	CodeCode Available
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation	Jul 10, 2022	3D Medical Imaging SegmentationBrain Image Segmentation	CodeCode Available
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation	Jul 5, 2022	Contrastive LearningImage Segmentation	CodeCode Available
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation	Jul 5, 2022	Image SegmentationKnowledge Distillation	CodeCode Available
Online Reflective Learning for Robust Medical Image Segmentation	Jul 1, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models	Jul 1, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available
Implicit U-Net for volumetric medical image segmentation	Jun 30, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary	Jun 29, 2022	Domain GeneralizationImage Segmentation	—Unverified
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation	Jun 28, 2022	Contrastive LearningDomain Generalization	—Unverified
FF-UNet: a U-Shaped Deep Convolutional Neural Network for Multimodal Biomedical Image Segmentation	Jun 27, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency	Jun 21, 2022	Image SegmentationMedical Image Analysis	—Unverified
0/1 Deep Neural Networks via Block Coordinate Descent	Jun 19, 2022	10-shot image generation	—Unverified
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation	Jun 18, 2022	Image SegmentationMedical Image Segmentation	—Unverified
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation	Jun 15, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation	Jun 14, 2022	Brain Tumor SegmentationImage Segmentation	—Unverified
Data-Driven Deep Supervision for Medical Image Segmentation	Jun 14, 2022	Image SegmentationMedical Image Segmentation	—Unverified
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice	Jun 13, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation	Jun 10, 2022	Computed Tomography (CT)Contrastive Learning	—Unverified

Show:10 25 50

← PrevPage 63 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