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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Publié dans:J Natl Cancer Inst
Auteurs principaux: 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
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2020
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Articles
Accès en ligne: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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