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A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients.
Arezzo, Francesca; Cormio, Gennaro; La Forgia, Daniele; Santarsiero, Carla Mariaflavia; Mongelli, Michele; Lombardi, Claudio; Cazzato, Gerardo; Cicinelli, Ettore; Loizzi, Vera.
Afiliação
  • Arezzo F; Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy. francesca.arezzo@uniba.it.
  • Cormio G; Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy.
  • La Forgia D; Department of Breast Radiology, Giovanni Paolo II I.R.C.C.S. Cancer Institute, via Orazio Flacco 65, 70124, Bari, Italy.
  • Santarsiero CM; Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy.
  • Mongelli M; Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy.
  • Lombardi C; Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy.
  • Cazzato G; Department of Emergency and Organ Transplantation, Pathology Section, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy.
  • Cicinelli E; Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy.
  • Loizzi V; Interdisciplinar Department of Medicine, Obstetrics and Gynecology Unit, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy.
Arch Gynecol Obstet ; 306(6): 2143-2154, 2022 12.
Article em En | MEDLINE | ID: mdl-35532797
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Aprendizado de Máquina Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Aprendizado de Máquina Idioma: En Ano de publicação: 2022 Tipo de documento: Article