FACES: A Deep-Learning-Based Parametric Model to Improve Rosacea Diagnoses.

ABSTRACT: Rosacea is a chronic inflammatory skin disorder that causes visible blood vessels and redness on the nose, chin, cheeks, and forehead. However, visual assessment, the current standard method used to identify rosacea, is often subjective among clinicians and results in high variation. Recent advances in artificial intelligence have allowed for the effective detection of various skin diseases with high accuracy and consistency. In this study, we develop a new methodology, coined "five accurate CNNs-based evaluation system (FACES)", to identify and classify rosacea more efficiently. First, 19 CNN-based models that have been widely used for image classification were trained and tested via training and validation data sets. Next, the five best performing models were selected based on accuracy,

SUBMITTER: Park S 

PROVIDER: S-EPMC10817774 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature