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Using Radiomics and Machine Learning Applied to MRI to Predict Response to Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer.
Chiappa, Valentina; Bogani, Giorgio; Interlenghi, Matteo; Vittori Antisari, Giulia; Salvatore, Christian; Zanchi, Lucia; Ludovisi, Manuela; Leone Roberti Maggiore, Umberto; Calareso, Giuseppina; Haeusler, Edward; Raspagliesi, Francesco; Castiglioni, Isabella.
Afiliação
  • Chiappa V; Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, 20133 Milan, Italy.
  • Bogani G; Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, 20133 Milan, Italy.
  • Interlenghi M; DeepTrace Technologies S.R.L., 20126 Milan, Italy.
  • Vittori Antisari G; Azienda Ospedaliero-Universitaria di Verona, University of Verona, 37134 Verona, Italy.
  • Salvatore C; DeepTrace Technologies S.R.L., 20126 Milan, Italy.
  • Zanchi L; Department of Science, Technology and Society, University School for Advanced Studies IUSS Pavia, 27100 Pavia, Italy.
  • Ludovisi M; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, Unit of Obstetrics and Gynaecology, University of Pavia, IRCCS San Matteo Hospital Foundation, 27100 Pavia, Italy.
  • Leone Roberti Maggiore U; Department of Clinical Medicine, Life Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
  • Calareso G; Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, 20133 Milan, Italy.
  • Haeusler E; Radiology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, 20133 Milan, Italy.
  • Raspagliesi F; Department of Anaesthesiology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, 20133 Milan, Italy.
  • Castiglioni I; Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, 20133 Milan, Italy.
Diagnostics (Basel) ; 13(19)2023 Oct 06.
Article em En | MEDLINE | ID: mdl-37835882

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália
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