Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data.

Huynh, Tri; Gao, Yaozong; Kang, Jiayin; Wang, Li; Zhang, Pei; Shen, Dinggang

Huynh, Tri; Gao, Yaozong; Kang, Jiayin; Wang, Li; Zhang, Pei; Shen, Dinggang.

Afiliación

Huynh T; IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Gao Y; IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kang J; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Wang L; IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Zhang P; IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Shen D; IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Mach Learn Med Imaging ; 9352: 321-329, 2015 Oct.

Article en En | MEDLINE | ID: mdl-30506065

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mach Learn Med Imaging Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania

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