Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar.

Autor: Trachoo V; Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand., Taetragool U; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand., Pianchoopat P; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand., Sukitporn-Udom C; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand., Morakrant N; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand., Warin K; Faculty of Dentistry, Thammasat University, Pathum Thani, Thailand. Electronic address: warin@tu.ac.th.

Publikováno v: International dental journal [Int Dent J] 2024 Jul 22. Date of Electronic Publication: 2024 Jul 22.