Artificial intelligence assisted cytological detection for early esophageal squamous epithelial lesions by using low‐grade squamous intraepithelial lesion as diagnostic threshold

BACKGROUND: Manual cytological diagnosis for early esophageal squamous cell carcinoma (early ESCC) and high‐grade intraepithelial neoplasia (HGIN) is unsatisfactory. Herein, we have introduced an artificial intelligence (AI)‐assisted cytological diagnosis for such lesions. METHODS: Low‐grade squamou...

Descripción completa

Detalles Bibliográficos
Autores principales: Yao, Bin, Feng, Yadong, Zhao, Kai, Liang, Yan, Huang, Peilin, Zang, Juncai, Song, Jie, Li, Mengjie, Wang, Xiaofen, Shu, Huazhong, Shi, Ruihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
RESEARCH ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883535/
https://www.ncbi.nlm.nih.gov/pubmed/35766144
http://dx.doi.org/10.1002/cam4.4984

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883535/
https://www.ncbi.nlm.nih.gov/pubmed/35766144
http://dx.doi.org/10.1002/cam4.4984

Ejemplares similares