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 501550 of 2089 papers

TitleStatusHype
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Code1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image SegmentationCode1
ColonFormer: An Efficient Transformer based Method for Colon Polyp SegmentationCode1
TGANet: Text-guided attention for improved polyp segmentationCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information MaximizationCode1
Continual Hippocampus Segmentation with TransformersCode1
IOP-FL: Inside-Outside Personalization for Federated Medical Image SegmentationCode1
Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image SegmentationCode1
Federated Cross Learning for Medical Image SegmentationCode1
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentationCode1
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic SegmentationCode1
Target and Task specific Source-Free Domain Adaptive Image SegmentationCode1
Harmonizing Pathological and Normal Pixels for Pseudo-healthy SynthesisCode1
Translation Consistent Semi-supervised Segmentation for 3D Medical ImagesCode1
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source LabelsCode1
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysisCode1
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual ProcessingCode1
Point-Unet: A Context-aware Point-based Neural Network for Volumetric SegmentationCode1
3D-UCaps: 3D Capsules Unet for Volumetric Image SegmentationCode1
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image SegmentationCode1
On-the-Fly Test-time Adaptation for Medical Image SegmentationCode1
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image SegmentationCode1
Stepwise Feature Fusion: Local Guides GlobalCode1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble SupervisionCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
Contextual Attention Network: Transformer Meets U-NetCode1
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image SegmentationCode1
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image SegmentationCode1
Towards a Guideline for Evaluation Metrics in Medical Image SegmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image SegmentationCode1
MISeval: a Metric Library for Medical Image Segmentation EvaluationCode1
Improving Across-Dataset Brain Tissue Segmentation Using TransformerCode1
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image SegmentationCode1
SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentationCode1
Contrastive Pretraining for Echocardiography Segmentation with Limited DataCode1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
Effect of Prior-based Losses on Segmentation Performance: A BenchmarkCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
BDG-Net: Boundary Distribution Guided Network for Accurate Polyp SegmentationCode1
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual NormalizationCode1
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR ImagesCode1
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRICode1
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image AnalysisCode1
A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationCode1
Modeling Annotator Preference and Stochastic Annotation Error for Medical Image SegmentationCode1
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
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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