Ground truth generalizability affects performance of the artificial intelligence model in automated vertebral fracture detection on plain lateral radiographs of the spine-Reference-Cited by-同舟云学术

Ground truth generalizability affects performance of the artificial intelligence model in automated vertebral fracture detection on plain lateral radiographs of the spine

Published:2021-11 Issue: Volume: Page:
ISSN:1529-9430
Container-title:The Spine Journal
language:en
Short-container-title:The Spine Journal

Author:

Chou Po-Hsin,Jou Tony Hong-Ting,Wu Hung-Ta Hondar,Yao Yu-Cheng,Lin Hsi-Hsien,Chang Ming-Chau,Wang Shih-Tien,Lu Henry Horng-Shing^ORCID,Chen Hung-Hsun^ORCID

Publisher

Elsevier BV

Subject

Neurology (clinical),Surgery,Orthopedics and Sports Medicine

Reference25 articles.

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5. Can a deep-learning model for the automated detection of vertebral fractures approach the performance level of human subspecialists?;Li;Clin Orthop Relat Res,2021

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