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Liver Segmentation

Papers

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Showing 51–75 of 86 papers

TitleStatusHype
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation—0
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation—0
E^2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans—0
A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images—0
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images—0
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention—0
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy—0
3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Multimodal Self-Supervised Learning for Medical Image Analysis—0
Liver Segmentation from Multimodal Images using HED-Mask R-CNN—0
Liver segmentation and metastases detection in MR images using convolutional neural networksCode0
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation—0
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentationCode0
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation—0
Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translationCode0
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological OperationsCode0
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss functionCode0
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation—0
Automatic Liver Segmentation with Adversarial Loss and Convolutional Neural Network—0
Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT—0
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors—0
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation—0
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation—0
Deep Sequential Segmentation of Organs in Volumetric Medical Scans—0
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