Automatic segmentation and classification of frontal sinuses for sex determination from CBCT scans using a two-stage anatomy-guided attention network

Abstract Sex determination is essential for identifying unidentified individuals, particularly in forensic contexts. Traditional methods for sex determination involve manual measurements of skeletal features on CBCT scans. However, these manual measurements are labor-intensive, time-consuming, and e...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Renan Lucio Berbel da Silva, Su Yang, DaEl Kim, Jun Ho Kim, Sang-Heon Lim, Jiyong Han, Jun-Min Kim, Jo-Eun Kim, Kyung-Hoe Huh, Sam-Sun Lee, Min-Suk Heo, Won-Jin Yi
Format: Article
Language:English
Published: Nature Portfolio 2024-05-01
Subjects:
Deep learning
Sex determination
Frontal sinus
CBCT
Anatomy-guided attention
Online Access:https://doi.org/10.1038/s41598-024-62211-y

Internet

https://doi.org/10.1038/s41598-024-62211-y

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