Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting

Importance Cervical cancer is highly preventable but remains a common and deadly cancer in areas without screening programs. The creation of a diagnostic system to digitize Papanicolaou test samples and analyze them using a cloud-based deep learning system (DLS) may provide needed cervical cancer sc...

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Veröffentlicht in:	JAMA network open 2021-03, Vol.4 (3), p.e211740-e211740, Article 211740
Hauptverfasser:	Holmstrom, Oscar, Linder, Nina, Kaingu, Harrison, Mbuuko, Ngali, Mbete, Jumaa, Kinyua, Felix, Tornquist, Sara, Muinde, Martin, Krogerus, Leena, Lundin, Mikael, Diwan, Vinod, Lundin, Johan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Cervical cancer Digitization General & Internal Medicine HIV Human immunodeficiency virus Life Sciences & Biomedicine Medical screening Medicin och hälsovetenskap Medicine, General & Internal Microscopy Online Only Original Investigation Pathology and Laboratory Medicine Science & Technology
Online-Zugang:	Volltext
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