Accuracy and Efficiency of Deep-Learning–Based Automation of Dual Stain Cytology in Cervical Cancer Screening

BACKGROUND: With the advent of primary human papillomavirus testing followed by cytology for cervical cancer screening, visual interpretation of cytology slides remains the last subjective analysis step and suffers from low sensitivity and reproducibility. METHODS: We developed a cloud-based whole-s...

Descripción completa

Detalles Bibliográficos
Autores principales: Wentzensen, Nicolas, Lahrmann, Bernd, Clarke, Megan A, Kinney, Walter, Tokugawa, Diane, Poitras, Nancy, Locke, Alex, Bartels, Liam, Krauthoff, Alexandra, Walker, Joan, Zuna, Rosemary, Grewal, Kiranjit K, Goldhoff, Patricia E, Kingery, Julie D, Castle, Philip E, Schiffman, Mark, Lorey, Thomas S, Grabe, Niels
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7781458/
https://www.ncbi.nlm.nih.gov/pubmed/32584382
http://dx.doi.org/10.1093/jnci/djaa066

Ejemplares similares

Ejemplares similares