Original paper
Automated grading of acne vulgaris by deep learning with convolutional neural networks
Abstract
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...
Paper Details
Title
Automated grading of acne vulgaris by deep learning with convolutional neural networks
Published Date
Sep 29, 2019
Journal
Volume
26
Issue
2
Pages
187 - 192
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Notes
History