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 1001–1050 of 2089 papers

TitleStatusHype
ReshapeIT: Reliable Shape Interaction with Implicit Template for Anatomical Structure ReconstructionCode0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
ACNN: a Full Resolution DCNN for Medical Image SegmentationCode0
Cost-Effective Active Learning for Melanoma SegmentationCode0
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume MixingCode0
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal SegmentationCode0
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk SegmentationCode0
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image SegmentationCode0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
A Foundation Model for General Moving Object Segmentation in Medical ImagesCode0
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image SegmentationCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
U-Net Fixed-Point Quantization for Medical Image SegmentationCode0
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural NetworksCode0
AG-CUResNeSt: A Novel Method for Colon Polyp SegmentationCode0
UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTMCode0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained DatasetsCode0
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image SegmentationCode0
Cross-dimensional transfer learning in medical image segmentation with deep learningCode0
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks ClusteringCode0
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT SegmentationCode0
Unsupervised bias discovery in medical image segmentationCode0
Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical ImagesCode0
Unsupervised domain adaptation for medical imaging segmentation with self-ensemblingCode0
Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation MapsCode0
Task-agnostic Out-of-Distribution Detection Using Kernel Density EstimationCode0
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal ConvolutionsCode0
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation ModelsCode0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image SegmentationCode0
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural NetworksCode0
ViG-UNet: Vision Graph Neural Networks for Medical Image SegmentationCode0
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and ClassificationCode0
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image SegmentationCode0
Intracranial Hemorrhage Segmentation Using Deep Convolutional ModelCode0
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-NetCode0
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical LearningCode0
Learning to Segment Medical Images from Few-Shot Sparse LabelsCode0
Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNetCode0
We Care Each Pixel: Calibrating on Medical Segmentation ModelCode0
When Unseen Domain Generalization is Unnecessary? Rethinking Data AugmentationCode0
Whole-Body Lesion Segmentation in 18F-FDG PET/CTCode0
Whole-brain radiomics for clustered federated personalization in brain tumor segmentationCode0
WT-BCP: Wavelet Transform based Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationCode0
XAI-ResUNet: Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAMCode0
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNetCode0
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy ImagesCode0
ZECO: ZeroFusion Guided 3D MRI Conditional GenerationCode0
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registrationCode0
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Benchmark Results

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