Developing global image feature analysis models to predict cancer risk and prognosis.

Zheng, Bin; Qiu, Yuchen; Aghaei, Faranak; Mirniaharikandehei, Seyedehnafiseh; Heidari, Morteza; Danala, Gopichandh.

Afiliação

Zheng B; School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA.
Qiu Y; School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA.
Aghaei F; School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA.
Mirniaharikandehei S; School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA.
Heidari M; School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA.
Danala G; School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Suite 1001, Norman, OK 73019 USA.

Vis Comput Ind Biomed Art ; 2(1): 17, 2019.

Article em En | MEDLINE | ID: mdl-32190407

Palavras-chave

Cancer prognosis prediction; Cancer risk prediction; Global medial image feature analysis; Machine learning models of medical images; Quantitative imaging markers

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article