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 16511700 of 2089 papers

TitleStatusHype
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ SegmentationCode0
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma0
On the relationship between calibrated predictors and unbiased volume estimationCode0
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation0
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation0
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet0
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsCode0
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation0
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous LabelsCode0
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer0
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation0
Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Integrate Framework: Application to Liver Tumor and Vessel 3D Reconstruction under embedded microprocessorCode0
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation0
Exploring Feature Representation Learning for Semi-supervised Medical Image SegmentationCode0
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation0
Automatic Semantic Segmentation of the Lumbar Spine: Clinical Applicability in a Multi-parametric and Multi-centre Study on Magnetic Resonance Images0
Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy ImagesCode0
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration0
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks0
Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance PropagationCode0
MedAI: Transparency in Medical Image SegmentationCode0
3D-OOCS: Learning Prostate Segmentation with Inductive BiasCode0
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation0
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image SegmentationCode0
PL-Net: Progressive Learning Network for Medical Image Segmentation0
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces0
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation0
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data0
Rethinking Client Reweighting for Selfish Federated Learning0
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout0
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation0
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation0
Using Soft Labels to Model Uncertainty in Medical Image Segmentation0
Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation0
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium SegmentationCode0
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging0
Multi-encoder parse-decoder network for sequential medical image segmentationCode0
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ SegmentationCode0
Transformer-Unet: Raw Image Processing with Unet0
A Multi-Task Cross-Task Learning Architecture for Ad-hoc Uncertainty Estimation in 3D Cardiac MRI Image SegmentationCode0
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net0
Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks0
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image SegmentationCode0
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network0
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation0
Improved cell segmentation using deep learning in label-free optical microscopy images0
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation0
Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-RaysCode0
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?Code0
Effect of the output activation function on the probabilities and errors in medical image segmentationCode0
Show:102550
← PrevPage 34 of 42Next →

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