Automatic dental biofilm detection based on deep learning.

Aim: To estimate the automated biofilm detection capacity of the U-Net neural network on tooth images.

Materials And Methods: Two datasets of intra-oral photographs taken in the frontal and lateral views of permanent and deciduous dentitions were employed. The first dataset consisted of 96 photographs taken before and after applying a disclosing agent and was used to validate the domain's expert biofilm annotation (intra-class correlation coefficient = .