Dorella Franchi

European Institute of Oncology (IEO) IRCCS

SCHOLARLY PAPERS

2

DOWNLOADS

183

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

AI-Driven Ultrasound Detection of Ovarian Cancer that Generalizes: An International Multicentre Validation Study

Number of pages: 33 Posted: 22 Jan 2024
Södersjukhuset (Sös) - Department of Clinical Sciences and Education, Royal Institute of Technology (KTH) - School of Electrical Engineering and Computer Science, Södersjukhuset (Sös) - Department of Clinical Sciences and Education, Södersjukhuset (Sös) - Department of Clinical Sciences and Education, Royal Institute of Technology (KTH) - School of Electrical Engineering and Computer Science, Medical University of Lublin, University of Milan - DIBIC “Luigi Sacco”, Università degli Studi di Milano-Bicocca, Institute for the Care of Mother and Child, Lithuanian University of Health Sciences, European Institute of Oncology (IEO) IRCCS, Charles University in Prague - Department of Obstetrics and Gynecology, Fondazione Poliambulanza Istituto Ospedaliero, Forlì and Faenza Hospitals AUSL - Obstetrics and Gynecology Unit, Hospital Universitario Dexeus - Department of Obstetrics, Gynecology, and Reproduction, Medical University of Silesia, Universita di Cagliari, IRCCS “Burlo Garofolo” - Institute for Maternal and Child Health, Skåne University Hospital - Department of Obstetrics and Gynecology, Azienda Ospedaliero-Universitaria, University of Navarra - Clínica Universidad de Navarra, National and Kapodistrian University of Athens, Rizal Medical Center, University of Milan - DIBIC “Luigi Sacco”, Morgagni-Pierantoni Hospital, Charles University, Mater Olbia Hospital - Gynecology and Breast Care Center, Fondazione Poliambulanza Istituto Ospedaliero, Royal Institute of Technology (KTH), Royal Institute of Technology (KTH) - School of Electrical Engineering and Computer Science and Karolinska Institutet
Downloads 167 (389,659)

Abstract:

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ovarian neoplasms, ultrasonography, diagnostic imaging, artificial intelligence, deep learning, machine learning, triage, clinical decision-making

2.

Prediction of Non-Resectability in Tubo-Ovarian Cancer Patients Using Peritoneal Cancer Index – a Prospective Multicentric Study Using Imaging (Isaac Study)

Number of pages: 33 Posted: 01 Aug 2024
affiliation not provided to SSRN, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, University of Navarra - Clínica Universidad de Navarra, affiliation not provided to SSRN, affiliation not provided to SSRN, Masaryk University - Institute of Biostatistics and Analyses, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, Fondazione IRCCS Istituto Nazionale dei Tumori, Charles University in Prague - Department of Obstetrics and Gynecology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS - Gynecologic Unit, European Institute of Oncology (IEO) IRCCS, affiliation not provided to SSRN, University Hospital Brno, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Catholic University of the Sacred Heart, Rome - Gynecologic Oncology Unit, affiliation not provided to SSRN, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori and affiliation not provided to SSRN
Downloads 16 (1,222,835)

Abstract:

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Ovarian cancer, laparotomy, laparoscopy, ultrasonography, computed tomography, magnetic resonance