Performance of three colposcopic images for the identification of squamous and glandular cervical precursor neoplasias.

Giselle Fachetti-Machado Rosane Ribeiro Figueiredo Alves Marise Amaral Rebouças Moreira

Published in: Archives of gynecology and obstetrics (2021)

Prevalence and accuracy of the three images were higher for the diagnosis of glandular than squamous cervical precursor neoplasias. Sensitivity, specificity, positive likelihood, and AUC of aceto-white villi and atypical vessels images were higher for the diagnosis of glandular than squamous cervical precursor neoplasias.

Keyphrases

deep learning
high grade
convolutional neural network
low grade
optical coherence tomography
risk factors
machine learning