Development of a deep learning model for detecting lumbar vertebral fractures on CT images: An external validation.

Journal: European journal of radiology

Published Date: Aug 15, 2024

Abstract

OBJECTIVE: To develop and externally validate a binary classification model for lumbar vertebral body fractures based on CT images using deep learning methods.

Authors

Jingyi Tian

Department of Radiology, Peking University First Hospital, Beijing, China; Department of Radiology, Beijing Water Conservancy Hospital, Beijing, China.
Kexin Wang

Clifford Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Pengsheng Wu

Beijing Smart Tree Medical Technology Co. Ltd, Beijing, China.
Jialun Li

Beijing Smart Tree Medical Technology Co. Ltd., Beijing, 100011, China.
Xiaodong Zhang

The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China.
XiaoYing Wang

Keywords

Adult Aged Aged, 80 and over Deep Learning Female Humans Lumbar Vertebrae Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Spinal Fractures Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (39197270)

Development of a deep learning model for detecting lumbar vertebral fractures on CT images: An external validation.

Abstract

Authors

Keywords

External Resources

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