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Organ Segmentation

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Showing 251–300 of 305 papers

TitleStatusHype
MCMC Guided CNN Training and Segmentation for Pancreas Extraction—0
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives—0
Outlier Guided Optimization of Abdominal Segmentation—0
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks—0
Deep Learning in Multi-organ Segmentation—0
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks—0
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks—0
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps—0
Stochastic tissue window normalization of deep learning on computed tomography—0
Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation—0
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision—0
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation—0
Intelligent image synthesis to attack a segmentation CNN using adversarial learning—0
Local block-wise self attention for normal organ segmentation—0
Shape-Aware Complementary-Task Learning for Multi-Organ SegmentationCode0
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images—0
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal ModelingCode0
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT—0
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation—0
Elastic Boundary Projection for 3D Medical Image SegmentationCode0
Phase Collaborative Network for Two-Phase Medical Image Segmentation—0
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss—0
Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes—0
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio—0
Action Learning for 3D Point Cloud Based Organ Segmentation—0
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation—0
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation—0
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation—0
Domain Adaptation for MRI Organ Segmentation using Reverse Classification AccuracyCode0
Fully Automated Organ Segmentation in Male Pelvic CT Images—0
Autofocus Layer for Semantic SegmentationCode0
Combo Loss: Handling Input and Output Imbalance in Multi-Organ SegmentationCode0
Automated Mouse Organ Segmentation: A Deep Learning Based Solution—0
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion—0
One Kernel to Solve Nearly Everything: Unified 3D Binary Convolutions for Image Analysis—0
Semi-Supervised Multi-Organ Segmentation via Deep Multi-Planar Co-Training—0
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound—0
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net—0
Deep learning and its application to medical image segmentation—0
Liver segmentation in CT images using three dimensional to two dimensional fully convolutional network—0
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks—0
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial NetworksCode0
Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network—0
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ SegmentationCode0
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering—0
Hierarchical 3D fully convolutional networks for multi-organ segmentationCode0
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays—0
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth—0
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation—0
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT ScansCode0
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