The usefulness of automated high frequency ultrasound image analysis in atopic dermatitis staging.

ABSTRACT: The last decades have brought an interest in ultrasound applications in dermatology. Especially in the case of atopic dermatitis, where the formation of a subepidermal low echogenic band (SLEB) may serve as an independent indicator of the effects of treatment, the use of ultrasound is of particular interest. This study proposes and evaluates the computer-aided diagnosis method for assessing atopic dermatitis (AD). The fully automated image processing framework combines advanced machine learning techniques for fast, reliable, and repeatable HFUS image analysis, supporting clinical decisions. The proposed methodology comprises accurate SLEB segmentation followed by a classification step. The data set includes 20 MHz images of 80 patients diagnosed with AD according to Hanifin and Rajka crite

SUBMITTER: Czajkowska J 

PROVIDER: S-EPMC11697316 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature