Artificial classification of cervical squamous lesions in ThinPrep cytologic tests using a deep convolutional neural network

The diagnosis of squamous cell carcinoma requires the accurate classification of cervical squamous lesions in the ThinPrep cytologic test (TCT). It primarily relies on a pathologist's interpretation under a microscope. Deep convolutional neural networks (DCNN) have played an increasingly import...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Li, Wang, Yuanhua, Ma, Qiang, Tan, Liwen, Wu, Yi, Xiao, Jingjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448561/
https://www.ncbi.nlm.nih.gov/pubmed/32863926
http://dx.doi.org/10.3892/ol.2020.11974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448561/
https://www.ncbi.nlm.nih.gov/pubmed/32863926
http://dx.doi.org/10.3892/ol.2020.11974

Ejemplares similares