Deep-Learning Model of ResNet Combined with CBAM for Malignant-Benign Pulmonary Nodules Classification on Computed Tomography Images.

Zhang, Yanfei; Feng, Wei; Wu, Zhiyuan; Li, Weiming; Tao, Lixin; Liu, Xiangtong; Zhang, Feng; Gao, Yan; Huang, Jian; Guo, Xiuhua

Zhang, Yanfei; Feng, Wei; Wu, Zhiyuan; Li, Weiming; Tao, Lixin; Liu, Xiangtong; Zhang, Feng; Gao, Yan; Huang, Jian; Guo, Xiuhua.

Afiliación

Zhang Y; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Feng W; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Wu Z; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Li W; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Tao L; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Liu X; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Zhang F; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Gao Y; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Huang J; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Guo X; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.

Medicina (Kaunas) ; 59(6)2023 Jun 05.

Article en En | MEDLINE | ID: mdl-37374292

Asunto(s)

Aprendizaje Profundo; Neoplasias Pulmonares; Humanos; Estudios Retrospectivos; Neoplasias Pulmonares/diagnóstico por imagen; Tomografía Computarizada por Rayos X/métodos

Palabras clave

CT; deep learning; lung cancer; machine learning; radiomics

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Observational_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Medicina (Kaunas) Asunto de la revista: MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: China

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