Crossmark

Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs

Crossref DOI link: https://doi.org/10.1007/s00330-019-06167-y

Published Online: 2019-04-01

Published Print: 2019-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cheng, Chi-Tung

Ho, Tsung-Ying

Lee, Tao-Yi

Chang, Chih-Chen

Chou, Ching-Cheng

Chen, Chih-Chi

Chung, I-Fang

Liao, Chien-Hung http://orcid.org/0000-0003-2812-9773
License Information

Text and Data Mining valid from 2019-04-01
More Information

Article History

Received: 22 November 2018

Revised: 28 February 2019

Accepted: 14 March 2019

First Online: 1 April 2019

Compliance with ethical standards

:

: The scientific guarantor of this publication is Dr. Chi-Hsun Hsieh.

: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

: Dr. Chi-Chih Chen, who has significant statistical expertise, kindly provided statistical advice for this manuscript.No complex statistical methods were necessary for this paper.

: Written informed consent was waived by the Institutional Review Board.

: Institutional Review Board approval was obtained as CGMHIRB 201702059B0.

: Some study subjects or cohorts have not been previously reported.

: • Retrospective• Diagnostic or prognostic study• Performed at one institution