The exploration of feature extraction and machine learning for predicting bone density from simple spine X-ray images in a Korean population.

Journal: Skeletal radiology
Published Date: Apr 1, 2020

Abstract

OBJECTIVE: Osteoporosis is hard to detect before it manifests symptoms and complications. In this study, we evaluated machine learning models for identifying individuals with abnormal bone mineral density (BMD) through an analysis of spine X-ray features extracted by deep learning to alert high-risk osteoporosis populations.

Authors

  • Sangwoo Lee
    Samsung Electronics, Suwon, South Korea.
  • Eun Kyung Choe
    Department of Surgery, Seoul National University Hospital Healthcare System Gangnam Center, 39FL Gangnam Finance Center 152, Teheran-ro, Gangnam-gu, Seoul, 135-984, South Korea. snuhcr@naver.com.
  • Hae Yeon Kang
    Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea.
  • Ji Won Yoon
    Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea.
  • Hua Sun Kim
    Department of Radiology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea.

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