Automated Diagnosis of Cervical Intraepithelial Neoplasia in Histology Images via Deep Learning

Artificial intelligence has enabled the automated diagnosis of several cancer types. We aimed to develop and validate deep learning models that automatically classify cervical intraepithelial neoplasia (CIN) based on histological images. Microscopic images of CIN3, CIN2, CIN1, and non-neoplasm were...

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Detalles Bibliográficos
Autores principales: Cho, Bum-Joo, Kim, Jeong-Won, Park, Jungkap, Kwon, Gui-Young, Hong, Mineui, Jang, Si-Hyong, Bang, Heejin, Kim, Gilhyang, Park, Sung-Taek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871214/
https://www.ncbi.nlm.nih.gov/pubmed/35204638
http://dx.doi.org/10.3390/diagnostics12020548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871214/
https://www.ncbi.nlm.nih.gov/pubmed/35204638
http://dx.doi.org/10.3390/diagnostics12020548

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