HeadLocNet: Deep Convolutional Neural Networks for Accurate Classification and Multi-landmark Localization of Head CTs

Lignende værker

• Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint
  af: Zhang, Dongqing, et al.
  Udgivet: (2018)
• Two-level Training of a 3d U-Net for Accurate Segmentation of the Intra-cochlear Anatomy in Head CTs with Limited Ground Truth Training Data
  af: Zhang, Dongqing, et al.
  Udgivet: (2019)
• Localizing landmark sets in head CTs using random forests and a heuristic search algorithm for registration initialization
  af: Zhang, Dongqing, et al.
  Udgivet: (2017)
• Automatic Detection of the Inner Ears in Head CT Images Using Deep Convolutional Neural Networks
  af: Zhang, Dongqing, et al.
  Udgivet: (2018)
• Automatic localization of landmark sets in head CT images with regression forests for image registration initialization
  af: Zhang, Dongqing, et al.
  Udgivet: (2016)