Using Deep Neural Network Approach for Multiple-Class Assessment of Digital Mammography.

Hsu, Shih-Yen; Wang, Chi-Yuan; Kao, Yi-Kai; Liu, Kuo-Ying; Lin, Ming-Chia; Yeh, Li-Ren; Wang, Yi-Ming; Chen, Chih-I; Kao, Feng-Chen

Hsu, Shih-Yen; Wang, Chi-Yuan; Kao, Yi-Kai; Liu, Kuo-Ying; Lin, Ming-Chia; Yeh, Li-Ren; Wang, Yi-Ming; Chen, Chih-I; Kao, Feng-Chen.

Afiliação

Hsu SY; Department of Information Engineering, I-Shou University, Kaohsiung City 84001, Taiwan.
Wang CY; Department of Medical Imaging and Radiological Science, I-Shou University, Kaohsiung City 82445, Taiwan.
Kao YK; Division of Colorectal Surgery, Department of Surgery, E-DA Hospital, Kaohsiung City 82445, Taiwan.
Liu KY; Department of Radiology, E-DA Cancer Hospital, I-Shou University, Kaohsiung City 82445, Taiwan.
Lin MC; Department of Nuclear Medicine, E-DA Hospital, I-Shou University, Kaohsiung City 82445, Taiwan.
Yeh LR; Department of Anesthesiology, E-DA Cancer Hospital, I-Shou University, Kaohsiung City 82445, Taiwan.
Wang YM; Department of Medical Imaging and Radiology, Shu-Zen College of Medicine and Management, Kaohsiung City 82144, Taiwan.
Chen CI; Department of Information Engineering, I-Shou University, Kaohsiung City 84001, Taiwan.
Kao FC; Department of Critical Care Medicine, E-DA Hospital, I-Shou University, Kaohsiung City 82445, Taiwan.

Healthcare (Basel) ; 10(12)2022 Nov 27.

Article em En | MEDLINE | ID: mdl-36553906

Palavras-chave

classification; deep neural network; mammography

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Revista: Healthcare (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan País de publicação: Suíça

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google