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 14511500 of 2089 papers

TitleStatusHype
Semantic Image Segmentation: Two Decades of Research0
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget0
Multi-Modal Evaluation Approach for Medical Image Segmentation0
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging SegmentationCode0
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation0
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation0
Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity0
FCB-SwinV2 Transformer for Polyp Segmentation0
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans0
Continuous U-Net: Faster, Greater and Noiseless0
Estimation of mitral valve hinge point coordinates -- deep neural net for echocardiogram segmentation0
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations0
TAAL: Test-time Augmentation for Active Learning in Medical Image SegmentationCode0
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation0
A new dataset for measuring the performance of blood vessel segmentation methods under distribution shiftsCode0
RUPNet: Residual upsampling network for real-time polyp segmentation0
Finding the Most Transferable Tasks for Brain Image Segmentation0
Learning Confident Classifiers in the Presence of Label Noise0
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans0
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors0
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation0
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient SupervisionCode0
Efficient Bayesian Uncertainty Estimation for nnU-Net0
Few-shot Medical Image Segmentation with Cycle-resemblance Attention0
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging DataCode0
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple ratersCode0
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation0
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images0
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation0
Convolutional neural networks for medical image segmentation0
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning0
Feedback Chain Network For Hippocampus Segmentation0
Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation0
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation0
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation0
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CTCode0
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation0
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss0
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation0
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images0
Style Augmentation improves Medical Image Segmentation0
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation0
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation0
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernelsCode0
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image SegmentationCode0
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture0
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency GuidanceCode0
How precise are performance estimates for typical medical image segmentation tasks?0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
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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