Clinicians' perception of oral potentially malignant disorders: a pitfall for image annotation in supervised learning
ALD Araújo, ESC de Souza, ISP Faustino… - Oral surgery, oral …, 2023 - Elsevier
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 …
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 …
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