Automation of the kidney function prediction and classification through ultrasound-based kidney imaging using deep learning.

Kuo, Chin-Chi; Chang, Chun-Min; Liu, Kuan-Ting; Lin, Wei-Kai; Chiang, Hsiu-Yin; Chung, Chih-Wei; Ho, Meng-Ru; Sun, Pei-Ran; Yang, Rong-Lin; Chen, Kuan-Ta

Kuo, Chin-Chi; Chang, Chun-Min; Liu, Kuan-Ting; Lin, Wei-Kai; Chiang, Hsiu-Yin; Chung, Chih-Wei; Ho, Meng-Ru; Sun, Pei-Ran; Yang, Rong-Lin; Chen, Kuan-Ta.

Afiliación

Kuo CC; Big Data Center, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Chang CM; 2Kidney Institute and Division of Nephrology, Department of Internal Medicine, China Medical University Hospital and College of Medicine, China Medical University, Taichung, Taiwan.
Liu KT; 3Institute of Information Science, Academia Sinica, Taichung, Taiwan.
Lin WK; 3Institute of Information Science, Academia Sinica, Taichung, Taiwan.
Chiang HY; 3Institute of Information Science, Academia Sinica, Taichung, Taiwan.
Chung CW; Big Data Center, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Ho MR; Big Data Center, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Sun PR; 3Institute of Information Science, Academia Sinica, Taichung, Taiwan.
Yang RL; Information Office, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Chen KT; Information Office, China Medical University Hospital, China Medical University, Taichung, Taiwan.

NPJ Digit Med ; 2: 29, 2019.

Article en En | MEDLINE | ID: mdl-31304376

Palabras clave

Epidemiology; Outcomes research; Ultrasonography

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: NPJ Digit Med Año: 2019 Tipo del documento: Article País de afiliación: Taiwán

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