Detecting Spinal Alignment Through Depth Image-Reference-Cited by-同舟云学术

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Detecting Spinal Alignment Through Depth Image

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
language:
Short-container-title:

Author:

Ishibashi Reina¹,Kameshima Hideto²,Nishio Yuji²,Sato Yukio²,Watanabe Kota³,Aoki Yoshimitsu¹

Affiliation:

1. Keio University, Yokohama,Faculty of Science and Technology,Department of Electrical Engineering,Kanagawa,Japan

2. Space Vision Co., Ltd.

3. Keio University School of Medicine,Division of Spine and Spinal Cord,Department of Orthopaedic Surgery,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10089803/10089992/10090000.pdf?arnumber=10090000

Reference10 articles.

1. An algorithm for using deep learning convolutional neural networks with three dimensional depth sensor imaging in scoliosis detection

2. CNN-based Spine and Cobb Angle Estimator Using Moire Images;choi;IIEEJ,0

3. Stacked Hourglass Networks for Human Pose Estimation

4. A narrative review of machine learning as promising revolution in clinical practice of scoliosis

5. Scoliosis imaging: An analysis of radiation risk in the CT scan projection radiograph and a comparison with projection radiography and EOS

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