Oral Surg Oral Med Oral Pathol Oral Radiol
September 2023
Objective: The present study aims to quantify clinicians' perceptions of oral potentially malignant disorders (OPMDs) when evaluating, classifying, and manually annotating clinical images, as well as to understand the source of inter-observer variability when assessing these lesions. The hypothesis was that different interpretations could affect the quality of the annotations used to train a Supervised Learning model.
Study Design: Forty-six clinical images from 37 patients were reviewed, classified, and manually annotated at the pixel level by 3 labelers.