Clinicians' perception of oral potentially malignant disorders: a pitfall for image annotation in supervised learning.
Journal:
Oral surgery, oral medicine, oral pathology and oral radiology
Published Date:
Sep 1, 2023
Abstract
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.