Scrutinizing high-risk patients from ASC-US cytology via a deep learning model.

Xiang TaoXiao ChuBingxue GuoQiuzhi PanShuting JiWenjie LouChuanfeng LvGuotong XieKe-Qin Hua

Published in: Cancer cytopathology (2022)

This de novo deep learning-based system can triage ASC-US cytology for CIN2+ with a performance superior to hrHPV testing and without incurring additional expenses.

Keyphrases

deep learning
end stage renal disease
fine needle aspiration
high grade
emergency department
ejection fraction
newly diagnosed
chronic kidney disease
artificial intelligence
machine learning
convolutional neural network
nlrp inflammasome
prognostic factors
peritoneal dialysis
ultrasound guided