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Organ Segmentation

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Showing 251–275 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
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