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Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography.
Sansone, Mario; Fusco, Roberta; Grassi, Francesca; Gatta, Gianluca; Belfiore, Maria Paola; Angelone, Francesca; Ricciardi, Carlo; Ponsiglione, Alfonso Maria; Amato, Francesco; Galdiero, Roberta; Grassi, Roberta; Granata, Vincenza; Grassi, Roberto.
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  • Sansone M; Department of Electrical Engineering Information Technology, University of Naples Federico II, 80125 Naples, Italy.
  • Fusco R; Medical Oncology Division, Igea SpA, 80013 Napoli, Italy.
  • Grassi F; Department of Precision Medicine, Division of Radiology, University of Campania Luigi Vanvitelli, 80127 Naples, Italy.
  • Gatta G; Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy.
  • Belfiore MP; Department of Precision Medicine, Division of Radiology, University of Campania Luigi Vanvitelli, 80127 Naples, Italy.
  • Angelone F; Department of Precision Medicine, Division of Radiology, University of Campania Luigi Vanvitelli, 80127 Naples, Italy.
  • Ricciardi C; Department of Electrical Engineering Information Technology, University of Naples Federico II, 80125 Naples, Italy.
  • Ponsiglione AM; Department of Electrical Engineering Information Technology, University of Naples Federico II, 80125 Naples, Italy.
  • Amato F; Department of Electrical Engineering Information Technology, University of Naples Federico II, 80125 Naples, Italy.
  • Galdiero R; Department of Electrical Engineering Information Technology, University of Naples Federico II, 80125 Naples, Italy.
  • Grassi R; Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, 80131 Naples, Italy.
  • Granata V; Department of Precision Medicine, Division of Radiology, University of Campania Luigi Vanvitelli, 80127 Naples, Italy.
  • Grassi R; Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, 80131 Naples, Italy.
Curr Oncol ; 30(1): 839-853, 2023 01 07.
Article en En | MEDLINE | ID: mdl-36661713
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Densidad de la Mama Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Curr Oncol Año: 2023 Tipo del documento: Article País de afiliación: Italia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Densidad de la Mama Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Curr Oncol Año: 2023 Tipo del documento: Article País de afiliación: Italia