Advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molars

Advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molars

The application of deep learning (DL) has become widespread with the development of digital medicine. At present, DL has been gradually applied to the fields of stomatology. Multiple studies have applied DL, combined with preoperative examination images such as X ray and cone beam CT (CBCT) images,...

Full description

Saved in:
Bibliographic Details
Main Authors: HUANG Jiaqi, LI Ang, KOU Yifan, Ayagusi Sailike, CHEN Lidan, ZHANG Xueming
Format: Article
Language:zho
Published: Editorial Office of Journal of Oral and Maxillofacial Surgery 2024-06-01
Series:Kouqiang hemian waike zazhi
Subjects:
deep learning
impacted mandibular third molar
tooth extraction
orthopantomogram
cone beam ct
inferior alveolar nerve injury
Online Access:https://journal06.magtech.org.cn/Jweb_joms/EN/10.12439/kqhm.1005-4979.2024.03.009
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items