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A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses.
Interlenghi, Matteo; Salvatore, Christian; Magni, Veronica; Caldara, Gabriele; Schiavon, Elia; Cozzi, Andrea; Schiaffino, Simone; Carbonaro, Luca Alessandro; Castiglioni, Isabella; Sardanelli, Francesco.
  • Interlenghi M; DeepTrace Technologies S.R.L., Via Conservatorio 17, 20122 Milano, Italy.
  • Salvatore C; DeepTrace Technologies S.R.L., Via Conservatorio 17, 20122 Milano, Italy.
  • Magni V; Department of Science, Technology and Society, Scuola Universitaria IUSS, Istituto Universitario di Studi Superiori, Piazza della Vittoria 15, 27100 Pavia, Italy.
  • Caldara G; Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milano, Italy.
  • Schiavon E; Department of Science, Technology and Society, Scuola Universitaria IUSS, Istituto Universitario di Studi Superiori, Piazza della Vittoria 15, 27100 Pavia, Italy.
  • Cozzi A; DeepTrace Technologies S.R.L., Via Conservatorio 17, 20122 Milano, Italy.
  • Schiaffino S; Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milano, Italy.
  • Carbonaro LA; Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy.
  • Castiglioni I; Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza dell'Ospedale Maggiore 3, 20162 Milano, Italy.
  • Sardanelli F; Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy.
Diagnostics (Basel) ; 12(1)2022 Jan 13.
Article en En | MEDLINE | ID: mdl-35054354
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article