2024
DOI: 10.14569/ijacsa.2024.0150286
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Cephalometric Landmarks Identification Through an Object Detection-based Deep Learning Model

Idriss Tafala,
Fatima-Ezzahraa Ben-Bouazza,
Aymane Edder
et al.

Abstract: In the field of orthodontics, the accurate identification of cephalometric landmarks in dental radiography plays a crucial role in ensuring precise diagnoses and efficient treatment planning. Previous studies have demonstrated the impressive capabilities of advanced deep learning models in this particular domain. However, due to the ever-changing technological landscape, it is imperative to consistently investigate and explore emerging algorithms to further improve efficiency in this field. The present study c… Show more

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