A Deep Learning Model for Cervical Cancer Screening on Liquid-Based Cytology Specimens in Whole Slide Images

SIMPLE SUMMARY: In this pilot study, we aimed to investigate the use of deep learning for the classification of whole-slide images of liquid-based cytology specimens into neoplastic and non-neoplastic. To do so, we used a large training and test sets. Overall, the model achieved good classification...

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Detalles Bibliográficos
Autores principales: Kanavati, Fahdi, Hirose, Naoki, Ishii, Takahiro, Fukuda, Ayaka, Ichihara, Shin, Tsuneki, Masayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8909106/
https://www.ncbi.nlm.nih.gov/pubmed/35267466
http://dx.doi.org/10.3390/cancers14051159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8909106/
https://www.ncbi.nlm.nih.gov/pubmed/35267466
http://dx.doi.org/10.3390/cancers14051159

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