Oral squamous cell carcinoma diagnosis in digitized histological images using convolutional neural network

BACKGROUND/PURPOSE: Diagnostic methods of oral squamous cell carcinoma (SCC) using artificial intelligence (AI) and digital-histopathologic images have been developed. However, previous AI training methods have focused on the cellular atypia given by the training of high-magnification images, and li...

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Detalles Bibliográficos
Autores principales: Oya, Kaori, Kokomoto, Kazuma, Nozaki, Kazunori, Toyosawa, Satoru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Association for Dental Sciences of the Republic of China 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831840/
https://www.ncbi.nlm.nih.gov/pubmed/36643248
http://dx.doi.org/10.1016/j.jds.2022.08.017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831840/
https://www.ncbi.nlm.nih.gov/pubmed/36643248
http://dx.doi.org/10.1016/j.jds.2022.08.017

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