A Learning-Based CT Prostate Segmentation Method via Joint Transductive Feature Selection and Regression.

Shi, Yinghuan; Gao, Yaozong; Liao, Shu; Zhang, Daoqiang; Gao, Yang; Shen, Dinggang

Shi, Yinghuan; Gao, Yaozong; Liao, Shu; Zhang, Daoqiang; Gao, Yang; Shen, Dinggang.

Afiliação

Shi Y; State Key Laboratory for Novel Software Technology, Nanjing University, China; Department of Radiology and BRIC, UNC Chapel Hill, U.S.
Gao Y; Department of Radiology and BRIC, UNC Chapel Hill, U.S.
Liao S; Department of Radiology and BRIC, UNC Chapel Hill, U.S.
Zhang D; Department of Radiology and BRIC, UNC Chapel Hill, U.S.
Gao Y; State Key Laboratory for Novel Software Technology, Nanjing University, China.
Shen D; Department of Radiology and BRIC, UNC Chapel Hill, U.S.

Neurocomputing (Amst) ; 173(2): 317-331, 2016 Jan 15.

Article em En | MEDLINE | ID: mdl-26752809

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Neurocomputing (Amst) Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google