Evaluating the Feasibility of Machine-Learning-Based Predictive Models for Precancerous Cervical Lesions in Patients Referred for Colposcopy
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DOI: 10.3390/diagnostics12123066
Abstract: Background: Colposcopy plays an essential role in cervical cancer control, but its performance remains unsatisfactory. This study evaluates the feasibility of machine learning (ML) models for predicting high-grade squamous intraepithelial lesions or worse (HSIL+) in… read more here.
Keywords: feasibility machine; screening results; machine learning; patients referred ... See more keywords