Extravalidation and reproducibility results of a commercial deep learning-based automatic detection algorithm for pulmonary nodules on chest radiographs at tertiary hospital.

Koo, Young Hoon; Shin, Kyung Eun; Park, Jai Soung; Lee, Jae Wook; Byun, Seonghwan; Lee, Heon

Koo, Young Hoon; Shin, Kyung Eun; Park, Jai Soung; Lee, Jae Wook; Byun, Seonghwan; Lee, Heon.

Afiliação

Koo YH; Department of Radiology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Korea.
Shin KE; Department of Radiology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Korea.
Park JS; Department of Radiology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Korea.
Lee JW; Department of Radiology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Korea.
Byun S; Department of Radiology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Korea.
Lee H; Department of Radiology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Korea.

J Med Imaging Radiat Oncol ; 65(1): 15-22, 2021 Feb.

Article em En | MEDLINE | ID: mdl-33090731

Assuntos

Aprendizado Profundo; Algoritmos; Humanos; Radiografia Torácica; Reprodutibilidade dos Testes; Estudos Retrospectivos; Centros de Atenção Terciária

Palavras-chave

algorithms; chest radiography; convolutional neural networks; deep learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: J Med Imaging Radiat Oncol Ano de publicação: 2021 Tipo de documento: Article

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