Deep learning model for tongue cancer diagnosis using endoscopic images

In this study, we developed a deep learning model to identify patients with tongue cancer based on a validated dataset comprising oral endoscopic images. We retrospectively constructed a dataset of 12,400 verified endoscopic images from five university hospitals in South Korea, collected between 201...

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Detalles Bibliográficos
Autores principales: Heo, Jaesung, Lim, June Hyuck, Lee, Hye Ran, Jang, Jeon Yeob, Shin, Yoo Seob, Kim, Dahee, Lim, Jae Yol, Park, Young Min, Koh, Yoon Woo, Ahn, Soon-Hyun, Chung, Eun-Jae, Lee, Doh Young, Seok, Jungirl, Kim, Chul-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012779/
https://www.ncbi.nlm.nih.gov/pubmed/35428854
http://dx.doi.org/10.1038/s41598-022-10287-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012779/
https://www.ncbi.nlm.nih.gov/pubmed/35428854
http://dx.doi.org/10.1038/s41598-022-10287-9

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