Atopic dermatitis classification models of 3D optoacoustic mesoscopic images

Xiuting Li; Sojeong Park; Mahsa Paknezhad; Dinish U. S.; Amalina Binte Ebrahim Attia; Yew Yik Weng; Steven Thng Tien Guan; Hwee Kuan Lee; Malini Olivo

doi:10.1117/12.2615991

9 December 2021 Atopic dermatitis classification models of 3D optoacoustic mesoscopic images

Xiuting Li, Sojeong Park, Mahsa Paknezhad, Dinish U. S., Amalina Binte Ebrahim Attia, Yew Yik Weng, Steven Thng Tien Guan, Hwee Kuan Lee, Malini Olivo

Author Affiliations +

Proceedings Volume 11923, Opto-Acoustic Methods and Applications in Biophotonics V; 1192313 (2021) https://doi.org/10.1117/12.2615991
Event: European Conferences on Biomedical Optics, 2021, Online Only

Abstract

A comprehensive analysis using three machine-learning models for an AI-aided atopic dermatitis (AD) diagnosis and sub-classifying AD severities with 3D Raster Scanning Optoacoustic Mesoscopy (RSOM) images, extracted features from volumetric vascular structures and clinical information.

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Xiuting Li, Sojeong Park, Mahsa Paknezhad, Dinish U. S., Amalina Binte Ebrahim Attia, Yew Yik Weng, Steven Thng Tien Guan, Hwee Kuan Lee, and Malini Olivo "Atopic dermatitis classification models of 3D optoacoustic mesoscopic images", Proc. SPIE 11923, Opto-Acoustic Methods and Applications in Biophotonics V, 1192313 (9 December 2021); https://doi.org/10.1117/12.2615991

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KEYWORDS

3D modeling

3D image processing

Skin

Diagnostics

Optoacoustics

Image classification

Image resolution

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