Assessing the predictive accuracy of lung cancer, metastases, and benign lesions using an artificial intelligence-driven computer aided diagnosis system.

Li, Kunwei; Liu, Kunfeng; Zhong, Yinghua; Liang, Mingzhu; Qin, Peixin; Li, Haijun; Zhang, Rongguo; Li, Shaolin; Liu, Xueguo

Li, Kunwei; Liu, Kunfeng; Zhong, Yinghua; Liang, Mingzhu; Qin, Peixin; Li, Haijun; Zhang, Rongguo; Li, Shaolin; Liu, Xueguo.

Afiliación

Li K; Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Liu K; Guangdong Provincial Key Laboratory of Biomedical Imaging, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Zhong Y; Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Liang M; Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Qin P; Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Li H; Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Zhang R; Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Li S; Jiangxi Province Medical Imaging Research Institute, Nanchang, China.
Liu X; Beijing Infervision Technology Co. Ltd., Beijing, China.

Quant Imaging Med Surg ; 11(8): 3629-3642, 2021 Aug.

Article en En | MEDLINE | ID: mdl-34341737

Palabras clave

Lung cancer; artificial intelligence (AI); convolutional neural network (CNN); diagnostic; pulmonary nodule

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: China

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