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

Lignende værker

• HeadLocNet: Deep Convolutional Neural Networks for Accurate Classification and Multi-landmark Localization of Head CTs
  af: Zhang, Dongqing, et al.
  Udgivet: (2020)
• Automatic Detection of the Inner Ears in Head CT Images Using Deep Convolutional Neural Networks
  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)
• An artifact-robust, shape library-based algorithm for automatic segmentation of inner ear anatomy in post-cochlear-implantation CT
  af: Reda, Fitsum A., et al.
  Udgivet: (2014)
• Localizing landmark sets in head CTs using random forests and a heuristic search algorithm for registration initialization
  af: Zhang, Dongqing, et al.
  Udgivet: (2017)