Results
Among the 260 lesions identified in 216 patients, 2220 images from
narrow band imaging (NBI) and 2144 images from white light imaging (WLI)
were selected. For segmentation, the average intersection-over-union
(IoU) value exceeded 70%. For classification, the model was able to
classify the surgical group (SG) by laryngoscope with a sensitivity of
0.93 and specificity of 0.94 in WLI, and a sensitivity of 0.99 and
specificity of 0.97 in NBI. Moreover, this model achieved a mean average
precision (mAP) of 0.81 in WLI and 0.92 in NBI with an IoU>
0.5.