Investigating the use of texture features for analysis of breast lesions on contrast-enhanced cone beam CT.

Wang, Xixi; Nagarajan, Mahesh B; Conover, David; Ning, Ruola; O'Connell, Avice; Wismüller, Axel

Wang, Xixi; Nagarajan, Mahesh B; Conover, David; Ning, Ruola; O'Connell, Avice; Wismüller, Axel.

Afiliación

Wang X; Department of Biomedical Engineering, University of Rochester, NY, USA.
Nagarajan MB; Department of Biomedical Engineering, University of Rochester, NY, USA.
Conover D; Department of Imaging Sciences, University of Rochester, NY, USA.
Ning R; Koning Corporation, Rochester, NY, USA.
O'Connell A; Department of Imaging Sciences, University of Rochester, NY, USA.
Wismüller A; Koning Corporation, Rochester, NY, USA.

Proc SPIE Int Soc Opt Eng ; 90382014 Apr 09.

Article en En | MEDLINE | ID: mdl-29170583

Palabras clave

Minkowski Functionals; breast imaging; contrast-enhanced cone beam CT; support vector regression; texture analysis

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Texto completo: 1 Colección: 01-internacional Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos

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