Your browser doesn't support javascript.
loading
AUCReshaping: improved sensitivity at high-specificity.
Bhat, Sheethal; Mansoor, Awais; Georgescu, Bogdan; Panambur, Adarsh B; Ghesu, Florin C; Islam, Saahil; Packhäuser, Kai; Rodríguez-Salas, Dalia; Grbic, Sasa; Maier, Andreas.
Afiliação
  • Bhat S; Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany. sheethal.bhat@siemens-healthineers.com.
  • Mansoor A; Digital Technology and Innovation, Siemens Healthineers, Erlangen, Germany. sheethal.bhat@siemens-healthineers.com.
  • Georgescu B; Digital Technology and Innovation, Siemens Medical Solutions, Princeton, NJ, 08540, USA.
  • Panambur AB; Digital Technology and Innovation, Siemens Medical Solutions, Princeton, NJ, 08540, USA.
  • Ghesu FC; Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.
  • Islam S; Digital Technology and Innovation, Siemens Healthineers, Erlangen, Germany.
  • Packhäuser K; Digital Technology and Innovation, Siemens Medical Solutions, Princeton, NJ, 08540, USA.
  • Rodríguez-Salas D; Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.
  • Grbic S; Digital Technology and Innovation, Siemens Healthineers, Erlangen, Germany.
  • Maier A; Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.
Sci Rep ; 13(1): 21097, 2023 11 30.
Article em En | MEDLINE | ID: mdl-38036602

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Mamografia Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Mamografia Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha