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Evaluation of a Decision Support System Developed with Deep Learning Approach for Detecting Dental Caries with Cone-Beam Computed Tomography Imaging.
Amasya, Hakan; Alkhader, Mustafa; Serindere, Gözde; Futyma-Gabka, Karolina; Aktuna Belgin, Ceren; Gusarev, Maxim; Ezhov, Matvey; Rózylo-Kalinowska, Ingrid; Önder, Merve; Sanders, Alex; Costa, Andre Luiz Ferreira; Castro Lopes, Sérgio Lúcio Pereira de; Orhan, Kaan.
Afiliação
  • Amasya H; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Istanbul University-Cerrahpasa, Istanbul 34320, Türkiye.
  • Alkhader M; CAST (Cerrahpasa Research, Simulation and Design Laboratory), Istanbul University-Cerrahpasa, Istanbul 34320, Türkiye.
  • Serindere G; Health Biotechnology Joint Research and Application Center of Excellence, Istanbul 34220, Türkiye.
  • Futyma-Gabka K; Department of Oral Medicine and Oral Surgery, Faculty of Dentistry, Jordan University of Science and Technology, Irbid 22110, Jordan.
  • Aktuna Belgin C; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Mustafa Kemal University, Hatay 31060, Türkiye.
  • Gusarev M; Department of Dental and Maxillofacial Radiodiagnostics, Medical University of Lublin, 20-093 Lublin, Poland.
  • Ezhov M; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Mustafa Kemal University, Hatay 31060, Türkiye.
  • Rózylo-Kalinowska I; Diagnocat, Inc., San Francisco, CA 94102, USA.
  • Önder M; Diagnocat, Inc., San Francisco, CA 94102, USA.
  • Sanders A; Department of Dental and Maxillofacial Radiodiagnostics, Medical University of Lublin, 20-093 Lublin, Poland.
  • Costa ALF; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Ankara University, Ankara 0600, Türkiye.
  • Castro Lopes SLP; Diagnocat, Inc., San Francisco, CA 94102, USA.
  • Orhan K; Postgraduate Program in Dentistry, Cruzeiro do Sul University (UNICSUL), São Paulo 08060-070, SP, Brazil.
Diagnostics (Basel) ; 13(22)2023 Nov 18.
Article em En | MEDLINE | ID: mdl-37998607

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

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