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Browsing Diş Hekimliği Fakültesi by Subject "Artificial intelligence; Deep learning; Tooth caries; Bitewing radiographs; Dentistry"

Browsing Diş Hekimliği Fakültesi by Subject "Artificial intelligence; Deep learning; Tooth caries; Bitewing radiographs; Dentistry"

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  • Bayrakdar, Ibrahim Sevki; Orhan, Kaan; Akarsu, Serdar; Celik, Ozer; Atasoy, Samet; Pekince, Adem; Yasa, Yasin; Bilgir, Elif; Saglam, Hande; Aslan, Ahmet Faruk; Odabas, Alper (SPRINGER NEW YORK, 2021)
    Objectives The aim of this study is to recommend an automatic caries detection and segmentation model based on the Convolutional Neural Network (CNN) algorithms in dental bitewing radiographs using VGG-16 and U-Net ...

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