Development and validation of a deep-learning model for scoring of radiographic finger joint destruction in rheumatoid arthritis

OBJECTIVE: The purpose of this research was to develop a deep-learning model to assess radiographic finger joint destruction in RA. METHODS: The model comprises two steps: a joint-detection step and a joint-evaluation step. Among 216 radiographs of 108 patients with RA, 186 radiographs were assigned...

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Detalles Bibliográficos
Autores principales: Hirano, Toru, Nishide, Masayuki, Nonaka, Naoki, Seita, Jun, Ebina, Kosuke, Sakurada, Kazuhiro, Kumanogoh, Atsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921374/
https://www.ncbi.nlm.nih.gov/pubmed/31872173
http://dx.doi.org/10.1093/rap/rkz047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921374/
https://www.ncbi.nlm.nih.gov/pubmed/31872173
http://dx.doi.org/10.1093/rap/rkz047

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