3D convolutional neural networks with graph refinement for airway segmentation using incomplete data labels

D Jin, Z Xu, AP Harrison, K George… - Machine Learning in …, 2017 - Springer
Intrathoracic airway segmentation from computed tomography images is a frequent
prerequisite for further quantitative lung analyses. Due to low contrast and noise, especially …
被引用次数：77 相关文章

3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels

DJ Mollura - Machine Learning in Medical Imaging: 8th …, 2017 - books.google.com
Intrathoracic airway segmentation from computed tomography images is a frequent
prerequisite for further quantitative lung analyses. Due to low contrast and noise, especially …

[引用][C] 3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels

D Jin, Z Xu, AP Harrison, K George… - Machine Learning in …, 2017 - cir.nii.ac.jp
3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using
Incomplete Data Labels | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] …
[PDF] researchgate.net

[PDF][PDF] 3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels

DJ Mollura - researchgate.net
Intrathoracic airway segmentation from computed tomography images is a frequent
prerequisite for further quantitative lung analyses. Due to low contrast and noise, especially …