5 Conclusions
This study applied deep learning with Mask R-CNN to laryngoscopic images in WLI and NBI mode for the automated segmentation and classification of vocal cord leukoplakia with high sensitivity, specificity, and mAP. Mask R-CNN has promising potential to assist otolaryngologists in clinical treatment decisions on vocal cord leukoplakia.