Automated grading of acne vulgaris by deep learning with convolutional neural networks

Background The visual assessment and severity grading of acne vulgaris by physicians can be subjective, resulting in inter‐ and intra‐observer variability. Objective To develop and validate an algorithm for the automated calculation of the Investigator's Global Assessment (IGA) scale, to standardize acne severity and outcome measurements. Materials and Methods A total of 472 photographs (retrieved 01/01/2004‐04/08/2017) in the frontal view from...