Classification of Indonesian adult forensic gender using cephalometric radiography with VGG16 and VGG19: a Preliminary research

• Hoofdauteurs: Vitria Wuri Handayani (Auteur), Ahmad Yudianto (Auteur), Mieke Sylvia M.A.R (Auteur), Riries Rulaningtyas (Auteur), Muhammad Rasyad Caesarardhi (Auteur)
• Formaat: Boek
• Gepubliceerd in: Medical Journals Sweden, 2024-05-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

Background: The use of cephalometric pictures in dental radiology is widely acknowledged as a dependable technique for determining the gender of an individual. The Visual Geometry Group 16 (VGG16) and Visual Geometry Group 19 (VGG19) algorithms have been proven to be effective in image classificatio...