Artificial Intelligence and Image Analysis for the Identification of Endometrial Malignancies: A Comparative Study
Abraham Pouliakis (Second Department of Pathology, National and Kapodistrian University of Athens, Greece); Vasileia Damaskou (School of Medicine, Attikon University Hospital, Greece); Niki Margari (Independent Researcher, Greece); Efrossyni Karakitsou (Department of Biology, University of Barcelona, Spain); Vasilios Pergialiotis (Third Department of Obstetrics and Gynaecology, National and Kapodistrian University of Athens, Greece); George Valasoulis (Department of Obstetrics and Gynaecology, IASO Thessaly Hospital, Larissa, Greece); George Michail (Department of Obstetrics and Gynaecology, Patras University Medical School, Greece); Charalampos Chrelias (Third Department of Obstetrics and Gynaecology, National and Kapodistrian University of Athens, Greece); George Chrelias (Third Department of Obstetrics and Gynaecology, National and Kapodistrian University of Athens, Greece); Vasileios Sioulas (Third Department of Obstetrics and Gynaecology, National and Kapodistrian University of Athens, Greece); Alina-Roxani Gouloumi (Second Department of Pathology, National and Kapodistrian University of Athens, Greece); Nektarios Koufopoulos (Second Department of Pathology, National and Kapodistrian University of Athens, Greece); Martha Nifora (Second Department of Pathology, National and Kapodistrian University of Athens, Greece); Andriani Zacharatou (Second Department of Pathology, National and Kapodistrian University of Athens, Greece); Sophia Kalantaridou (Third Department of Obstetrics and Gynaecology, National and Kapodistrian University of Athens, Greece); Ioannis G. Panayiotides (Second Department of Pathology, National and Kapodistrian University of Athens, Greece)
ISBN13: 9781799823902|EISBN13: 9781799823919
https://www.igi-global.com/chapter/artificial-intelligence-and-image-analysis-for-the-identification-of-endometrial-malignancies/241624