A Deep Learning-Based Radiomics Model for Differentiating Benign and Malignant Renal Tumors.

Zhou, Leilei; Zhang, Zuoheng; Chen, Yu-Chen; Zhao, Zhen-Yu; Yin, Xin-Dao; Jiang, Hong-Bing

Zhou, Leilei; Zhang, Zuoheng; Chen, Yu-Chen; Zhao, Zhen-Yu; Yin, Xin-Dao; Jiang, Hong-Bing.

Afiliação

Zhou L; Department of Medical Equipment, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China.
Zhang Z; State Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Bio materials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Chen YC; Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China. Electronic address: chenyuchen1989@126.com.
Zhao ZY; Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China.
Yin XD; Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China.
Jiang HB; Department of Medical Equipment, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China; Nanjing Health Information Center, Nanjing 210003, China. Electronic address: cmdjhb@126.com.

Transl Oncol ; 12(2): 292-300, 2019 Feb.

Article em En | MEDLINE | ID: mdl-30448734

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Transl Oncol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

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