An Artificial Intelligence Approach for the Detection of Cervical Abnormalities: Application of the Self Organizing Map
Evangelos Salamalekis (Department of Cytopathology, Evangelismos Hospital, Paphos, Greece); Abraham Pouliakis (2nd Department of Pathology, National and Kapodistrian University of Athens, Athens, Greece); Niki Margari (Private Cytopathology Laboratory, Marousi, Greece); Christine Kottaridi (2nd Department of Pathology, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece); Aris Spathis (2nd Department of Pathology, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece); Effrosyni Karakitsou (Department of Biology, University of Barcelona, Barcelona, Spain); Alina-Roxani Gouloumi (2nd Department of Pathology, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece); Danai Leventakou (2nd Department of Pathology, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece); George Chrelias (3rd Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, Athens, Greece); George Valasoulis (Department of Obstetrics and Gynaecology, Health Center of Larisa, Larisa, Greece); Maria Nasioutziki (Molecular Cytopathology Laboratory, 2nd Obstetrics and Gynecology Department, Aristotle University of Thessaloniki, Medical School, Thessaloniki, Greece); Maria Kyrgiou (Department of Surgery and Cancer, Imperial College London, London, UK); Konstantinos Dinas (2nd Obstetrics and Gynecology Department, Aristotle University of Thessaloniki, Medical School, Thessaloniki, Greece); Ioannis G. Panayiotides (2nd Department of Pathology, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece); Evangelos Paraskevaidis (Department of Obstetrics and Gynecology, University Hospital of Ioannina, Ioannina, Greece); Charalampos Chrelias (3rd Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, Athens, Greece)
ISSN: 2160-9551|EISSN: 2160-956X
https://www.igi-global.com/article/an-artificial-intelligence-approach-for-the-detection-of-cervical-abnormalities/223197