[Deep learning-assisted construction of three-demensional facial midsagittal plane].

Journal: Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences
Published Date: Feb 18, 2022

Abstract

OBJECTIVE: To establish a deep learning algorithm that can accurately determine three-dimensional facial anatomical landmarks, multi-view stacked hourglass convolutional neural networks (MSH-CNN) and to construct three-dimensional facial midsagittal plane automatically based on MSH-CNN and weighted Procrustes analysis algorithm.

Authors

  • Y J Zhu
    Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China.
  • Q Xu
    School of Computer Science, Beijing University of Posts and Telecommunications(National Pilot Software Engineering School), Beijing 100876, China.
  • Y J Zhao
    Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China.
  • L Zhang
    Department of Radiology, Baoji Center Hospital, Baoji, 721008, Shaanxi, China; Department of Radiology, Baoji Hi-Tech People's Hospital, Baoji, 721013, Shaanxi, China.
  • Z W Fu
    School of Computer Science, Beijing University of Posts and Telecommunications(National Pilot Software Engineering School), Beijing 100876, China.
  • A N Wen
    Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China.
  • Z X Gao
    Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China.
  • J Zhang
    Department of Mechanical Engineering, Columbia University, 500 West 120th Street, New York, NY 10027, USA.
  • X L Fu
    Department of Radiotherapy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
  • Y Wang
    1 School of Public Health, Capital Medical University, Beijing, China.

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