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Liver Segmentation

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Showing 1–50 of 86 papers

TitleStatusHype
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
The Liver Tumor Segmentation Benchmark (LiTS)Code1
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography ImagesCode1
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical DataCode1
CT Liver Segmentation via PVT-based Encoding and Refined DecodingCode1
Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT ImagesCode1
Models Genesis: Generic Autodidactic Models for 3D Medical Image AnalysisCode1
Deep Implicit Statistical Shape Models for 3D Medical Image DelineationCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restorationCode1
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and RegistrationCode1
Training on Polar Image Transformations Improves Biomedical Image SegmentationCode1
Med3D: Transfer Learning for 3D Medical Image AnalysisCode1
A Reverse Mamba Attention Network for Pathological Liver SegmentationCode1
Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learningCode1
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
Deep Learning-based Assessment of Hepatic Steatosis on chest CT—0
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study—0
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation—0
Deep Sequential Segmentation of Organs in Volumetric Medical Scans—0
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation—0
E^2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans—0
EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT—0
Efficient liver segmentation with 3D CNN using computed tomography scans—0
Employing Weak Annotations for Medical Image Analysis Problems—0
Encoding feature supervised UNet++: Redesigning Supervision for liver and tumor segmentation—0
Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation—0
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation—0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors—0
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation—0
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation—0
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy—0
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI—0
Liver lesion segmentation informed by joint liver segmentation—0
Liver Segmentation from Multimodal Images using HED-Mask R-CNN—0
Liver Segmentation in Abdominal CT Images by Adaptive 3D Region Growing—0
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention—0
Cross Modality Medical Image Synthesis for Improving Liver Segmentation—0
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes—0
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images—0
3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks—0
A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images—0
A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images—0
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors—0
Automatic 3D Liver Segmentation Using Sparse Representation of Global and Local Image Information via Level Set Formulation—0
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network—0
Automatic Liver Segmentation with Adversarial Loss and Convolutional Neural Network—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision—0
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