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...

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Опубликовано в: :J Natl Cancer Inst
Главные авторы: 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
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2020
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Articles
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7781458/
https://ncbi.nlm.nih.gov/pubmed/32584382
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jnci/djaa066
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