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Liver Segmentation

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Showing 51–86 of 86 papers

TitleStatusHype
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
Models Genesis: Generic Autodidactic Models for 3D Medical Image AnalysisCode1
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
Med3D: Transfer Learning for 3D Medical Image AnalysisCode1
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation—0
The Liver Tumor Segmentation Benchmark (LiTS)Code1
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
Imperfect Segmentation Labels: How Much Do They Matter?Code0
Liver Segmentation in Abdominal CT Images by Adaptive 3D Region Growing—0
Liver segmentation in CT images using three dimensional to two dimensional fully convolutional network—0
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation—0
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
Employing Weak Annotations for Medical Image Analysis Problems—0
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network—0
Liver lesion segmentation informed by joint liver segmentation—0
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering—0
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes—0
Automatic 3D Liver Segmentation Using Sparse Representation of Global and Local Image Information via Level Set Formulation—0
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