Deep learning for sex determination: Analyzing over 200,000 panoramic radiographs

The objective of this study is to assess the performance of an innovative AI‐powered tool for sex determination using panoramic radiographs (PR) and to explore factors affecting the performance of the convolutional neural network (CNN). The study involved 207,946 panoramic dental X‐rays and their co...

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Veröffentlicht in:	Journal of forensic sciences Jg. 68; H. 6; S. 2057 - 2064
Hauptverfasser:	Ciconelle, Ana Claudia Martins, da Silva, Renan Lucio Berbel, Kim, Jun Ho, Rocha, Bruno Aragão, dos Santos, Dênis Gonçalves, Vianna, Luis Gustavo Rocha, Gomes Ferreira, Luma Gallacio, Pereira dos Santos, Vinícius Henrique, Costa, Jeferson Orofino, Vicente, Renato
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Colorado Springs Wiley Subscription Services, Inc 01.11.2023
Schlagworte:	Accuracy Age Age groups Algorithms Artificial neural networks Chronology Classification Deep learning Females Gender differences Image resolution Machine learning Neural networks Patients Public relations Radiographs Sex Sexes Teeth Tests
ISSN:	0022-1198, 1556-4029, 1556-4029
Online-Zugang:	Volltext
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