Smartphone-based multispectral imaging and machine-learning based analysis for discrimination between seborrheic dermatitis and psoriasis on the scalp

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For appropriate treatment, accurate discrimination between seborrheic dermatitis and psoriasis in a timely manner is crucial to avoid complications. However. when they occur on the scalp, differential diagnosis can be challenging using conventional dermascopes. Thus. we employed smartphone-based multispectral imaging and analysis to discriminate between them with high accuracy. A smartphone-based multispectral imaging system, suited for scalp disease diagnosis, was redesigned. We compared the outcomes obtained using machine learning-based and conventional spectral classification methods to achieve better discrimination. The results demonstrated that smartphone-based multispectral imaging and analysis has great potential for discriminating between these diseases. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Publisher
OPTICAL SOC AMER
Issue Date
2019-02
Language
English
Article Type
Article
Citation

BIOMEDICAL OPTICS EXPRESS, v.10, no.2, pp.879 - 891

ISSN
2156-7085
DOI
10.1364/BOE.10.000879
URI
http://hdl.handle.net/10203/251483
Appears in Collection
EE-Journal Papers(저널논문)
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