Proposing a CNN Method for Primary and Permanent Tooth Detection and Enumeration on Pediatric Dental Radiographs

Autor: Emine, Kaya, Huseyin Gurkan, Gunec, Sitki Selcuk, Gokyay, Secilay, Kutal, Semih, Gulum, Hasan Fehmi, Ates

Publikováno v: The Journal of clinical pediatric dentistry. 46(4)

In this paper, we aimed to evaluate the performance of a deep learning system for automated tooth detection and numbering on pediatric panoramic radiographs.YOLO V4, a CNN (Convolutional Neural Networks) based object detection model was used for auto

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::b4ca04901ae71a8d857e1e878f69822e
https://pubmed.ncbi.nlm.nih.gov/36099226

Proposing a CNN Method for Primary and Permanent Tooth Detection and Enumeration on Pediatric Dental Radiographs.

Autor: Kaya E; Emine Kaya, Assistant Professor, Department of Pediatric Dentistry, Faculty of Dentistry, Istanbul Okan University, Istanbul, Turkey., Gunec HG; Huseyin Gurkan Gunec, Assistant Professor, Department of Endodontics, Faculty of Dentistry, Atlas University, Istanbul, Turkey., Gokyay SS; Sitki Selcuk Gokyay, Research Assistant, Department of Endodontics, Faculty of Dentistry, Istanbul University, Istanbul, Turkey., Kutal S; Secilay Kutal, Undergraduate Student, Mechatronics Engineering, Faculty of Technology, Marmara University., Gulum S; Semih Gulum, Undergraduate Student, Mechatronics Engineering, Faculty of Technology, Marmara University., Ates HF; Hasan Fehmi Ates, Professor , Computer Engineering, School of Engineering and Natural Sciences, Istanbul Medipol University.

Publikováno v: The Journal of clinical pediatric dentistry [J Clin Pediatr Dent] 2022 Jul 01; Vol. 46 (4), pp. 293-298.