Evaluate the performance of four artificial intelligence-aided diagnostic systems in identifying and measuring four types of pulmonary nodules.

Wu, Ming-Yue; Li, Yong; Fu, Bin-Jie; Wang, Guo-Shu; Chu, Zhi-Gang; Deng, Dan

Wu, Ming-Yue; Li, Yong; Fu, Bin-Jie; Wang, Guo-Shu; Chu, Zhi-Gang; Deng, Dan.

Afiliação

Wu MY; School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Li Y; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fu BJ; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wang GS; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chu ZG; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Deng D; School of Public Health and Management, Chongqing Medical University, Chongqing, China.

J Appl Clin Med Phys ; 22(1): 318-326, 2021 Jan.

Article em En | MEDLINE | ID: mdl-33369008

Assuntos

Neoplasias Pulmonares; Nódulos Pulmonares Múltiplos; Nódulo Pulmonar Solitário; Inteligência Artificial; Humanos; Neoplasias Pulmonares/diagnóstico por imagem; Nódulos Pulmonares Múltiplos/diagnóstico por imagem; Nódulo Pulmonar Solitário/diagnóstico por imagem; Tomografia Computadorizada por Raios X

Palavras-chave

artificial intelligence; lung phantom; pulmonary nodules

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nódulo Pulmonar Solitário / Nódulos Pulmonares Múltiplos / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google