Conclusions
The study found that a model developed by applying DL with CNNs to
laryngoscopic imaging results in high sensitivity, specificity, and mAP
for automated segmentation and classification of vocal cord leukoplakia.
This finding shows promise for the application of DL with CNNs in
assisting in accurate diagnosis of vocal cord leukoplakia from WLI and
NBI.