Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolus

OBJECTIVES: The aim of the present study was to create effective deep learning-based models for diagnosing the presence or absence of cleft palate (CP) in patients with unilateral or bilateral cleft alveolus (CA) on panoramic radiographs. METHODS: The panoramic images of 491 patients who had unilate...

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Detalles Bibliográficos
Autores principales: Kuwada, Chiaki, Ariji, Yoshiko, Kise, Yoshitaka, Fukuda, Motoki, Nishiyama, Masako, Funakoshi, Takuma, Takeuchi, Rihoko, Sana, Airi, Kojima, Norinaga, Ariji, Eiichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017636/
https://www.ncbi.nlm.nih.gov/pubmed/35984588
http://dx.doi.org/10.1007/s11282-022-00644-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017636/
https://www.ncbi.nlm.nih.gov/pubmed/35984588
http://dx.doi.org/10.1007/s11282-022-00644-9

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