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
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images0
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation0
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network forUnsupervised Instance Segmentation in Biomedical ImagesCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical ImagesCode0
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation0
FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationCode1
Assessing the Role of Random Forests in Medical Image Segmentation0
CateNorm: Categorical Normalization for Robust Medical Image SegmentationCode1
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image SegmentationCode0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future0
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images0
Roughness Index and Roughness Distance for Benchmarking Medical SegmentationCode0
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation0
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline0
UNETR: Transformers for 3D Medical Image SegmentationCode3
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
Invertible Residual Network with Regularization for Effective Medical Image Segmentation0
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image SegmentationCode1
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency SpaceCode1
U-Net Transformer: Self and Cross Attention for Medical Image SegmentationCode1
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient0
Dual-Task Mutual Learning for Semi-Supervised Medical Image SegmentationCode1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information RegularizationCode1
TransBTS: Multimodal Brain Tumor Segmentation Using TransformerCode1
NeRD: Neural Representation of Distribution for Medical Image SegmentationCode1
Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images0
Semi-supervised Left Atrium Segmentation with Mutual Consistency TrainingCode1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
Learning With Context Feedback Loop for Robust Medical Image SegmentationCode0
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images0
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models0
MixSearch: Searching for Domain Generalized Medical Image Segmentation ArchitecturesCode1
Convolution-Free Medical Image Segmentation using Transformers0
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised LearningCode1
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray SegmentationCode1
Medical Transformer: Gated Axial-Attention for Medical Image SegmentationCode1
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT ImagesCode1
A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution0
TransFuse: Fusing Transformers and CNNs for Medical Image SegmentationCode1
Membership Inference Attacks are Easier on Difficult ProblemsCode0
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation0
Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and disc in peripapillary OCT imagesCode1
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentationCode1
TransUNet: Transformers Make Strong Encoders for Medical Image SegmentationCode2
A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring0
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors0
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image SegmentationCode1
Network-Agnostic Knowledge Transfer for Medical Image Segmentation0
A survey on shape-constraint deep learning for medical image segmentation0
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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
9SegMedmean Dice0.95Unverified
10DuATmean 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
9Automatic AI-SAMAvg DSC92.06Unverified
10nnFormerAvg DSC92.06Unverified
#ModelMetricClaimedVerifiedStatus
1StardistF184.6Unverified