White learning methodology: A case study of cancer-related disease factors analysis in real-time PACS environment.

Li, Tengyue; Fong, Simon; Siu, Shirley W I; Yang, Xin-She; Liu, Lian-Sheng; Mohammed, Sabah

Li, Tengyue; Fong, Simon; Siu, Shirley W I; Yang, Xin-She; Liu, Lian-Sheng; Mohammed, Sabah.

Afiliação

Li T; Department of Computer and Information Science, University of Macau, Macau SAR. Electronic address: mb75436@um.edu.mo.
Fong S; Department of Computer and Information Science, University of Macau, Macau SAR. Electronic address: ccfong@um.edu.mo.
Siu SWI; Department of Computer and Information Science, University of Macau, Macau SAR. Electronic address: shirleysiu@um.edu.mo.
Yang XS; Department of Design Engineering and Mathematics, Middlesex University, London, UK. Electronic address: X.Yang@mdx.ac.uk.
Liu LS; Department of Radiology, First Affiliated Hospital of Guangzhou University of TCM, China. Electronic address: llsjnu@sina.com.
Mohammed S; Department of Computer Science, Lakehead University, Thunder Bay, Canada. Electronic address: mohammed@lakeheadu.ca.

Comput Methods Programs Biomed ; 197: 105724, 2020 Dec.

Article em En | MEDLINE | ID: mdl-32877817

Assuntos

Neoplasias da Mama; Aprendizado de Máquina; Algoritmos; Teorema de Bayes; Humanos

Palavras-chave

Bayesian network; Data mining methodology; Deep learning; Radiological data analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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