SOTAVerified

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

Showing 751800 of 2089 papers

TitleStatusHype
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future TrendsCode0
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image SegmentationCode1
Alternate Diverse Teaching for Semi-supervised Medical Image SegmentationCode1
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image SegmentationCode6
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
I-MedSAM: Implicit Medical Image Segmentation with Segment AnythingCode1
Clean Label Disentangling for Medical Image Segmentation with Noisy LabelsCode0
Unleashing the Power of Prompt-driven Nucleus Instance SegmentationCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation0
Bayesian Neural Networks for 2D MRI Segmentation0
LACFormer: Toward accurate and efficient polyp segmentationCode0
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
FuseNet: Self-Supervised Dual-Path Network for Medical Image SegmentationCode1
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
GMISeg: General Medical Image Segmentation without Re-Training0
Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain AdaptationCode1
Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification0
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masksCode3
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation0
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation0
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound0
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification0
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries0
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-DisambiguationCode1
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained DatasetsCode0
MPSeg : Multi-Phase strategy for coronary artery Segmentation0
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and ClassificationCode0
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image SegmentationCode0
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks0
SSASS: Semi-Supervised Approach for Stenosis Segmentation0
Slide-SAM: Medical SAM Meets Sliding WindowCode1
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation0
SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage SegmentationCode1
Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point PromptsCode0
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation0
Robust semi-supervised segmentation with timestep ensembling diffusion models0
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images0
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation0
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image SegmentationCode1
Are foundation models efficient for medical image segmentation?0
SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image SegmentationCode0
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound ScalingCode1
Using DUCK-Net for Polyp Image SegmentationCode1
Medical Image Segmentation with Domain Adaptation: A SurveyCode2
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation0
Continual atlas-based segmentation of prostate MRICode1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.95Unverified
2EffiSegNet-B5mean Dice0.95Unverified
3EffiSegNet-B4mean Dice0.95Unverified
4SegMedmean Dice0.95Unverified
5FCB Formermean Dice0.94Unverified
6FCB-SwinV2 Transformermean Dice0.94Unverified
7SEPmean Dice0.94Unverified
8LM-Netmean Dice0.94Unverified
9RAPUNetmean Dice0.94Unverified
10FCBFormermean Dice0.94Unverified
#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.97Unverified
2RAPUNetmean Dice0.96Unverified
3EMCADmean Dice0.95Unverified
4Yolo-SAM 2mean Dice0.95Unverified
5RaBiTmean Dice0.95Unverified
6UGCANetmean Dice0.95Unverified
7ESFPNet-Lmean Dice0.95Unverified
8FCBFormermean Dice0.95Unverified
9DuATmean Dice0.95Unverified
10SegMedmean Dice0.95Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.95Unverified
2DUCK-Netmean Dice0.94Unverified
3EMCADmean Dice0.92Unverified
4SegMedmean Dice0.92Unverified
5UniNetmean Dice0.92Unverified
6ProMISemean Dice0.87Unverified
7Meta-Polypmean Dice0.87Unverified
8ResUNet++ + TTAmean Dice0.85Unverified
9PVT-GCASCADEmean Dice0.83Unverified
10PVT-CASCADEmean Dice0.83Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.96Unverified
2SegMedmean Dice0.94Unverified
3DUCK-Netmean Dice0.94Unverified
4EMCADmean Dice0.92Unverified
5ProMISemean Dice0.84Unverified
6RSAFormermean Dice0.84Unverified
7ESFPNet-Lmean Dice0.82Unverified
8DuATmean Dice0.82Unverified
9PVT-CASCADEmean Dice0.8Unverified
10SSFormer-Lmean Dice0.8Unverified
#ModelMetricClaimedVerifiedStatus
1Interactive AI-SAM gt boxAvg DSC90.66Unverified
2Medical SAM AdapterAvg DSC89.8Unverified
3MedSegDiff-v2Avg DSC89.5Unverified
4nnUNetAvg DSC88.8Unverified
5MedNeXt-L (5x5x5)Avg DSC88.76Unverified
6MISTAvg DSC86.92Unverified
7nnFormerAvg DSC86.57Unverified
8AgileFormerAvg DSC86.11Unverified
9MERITAvg DSC84.9Unverified
10Automatic AI-SAMAvg DSC84.21Unverified
#ModelMetricClaimedVerifiedStatus
1FCTAvg DSC94.26Unverified
2Interactive AI-SAM gt boxAvg DSC93.89Unverified
3FCTAvg DSC93.02Unverified
4LHU-NetAvg DSC92.65Unverified
5MISTAvg DSC92.56Unverified
6MERITAvg DSC92.32Unverified
7MERIT-GCASCADEAvg DSC92.23Unverified
8EMCADAvg DSC92.12Unverified
9nnFormerAvg DSC92.06Unverified
10Automatic AI-SAMAvg DSC92.06Unverified
#ModelMetricClaimedVerifiedStatus
1StardistF184.6Unverified