Cited 3 time in webofscience Cited 6 time in scopus

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

Title
Smartphone-based multispectral imaging and machine-learning based analysis for discrimination between seborrheic dermatitis and psoriasis on the scalp
Authors
Kim, SewoongKim, JihunHwang, MinjooKim, ManjaeJo, Seong JinJe, MinkyuJang, Jae EunLee, Dong HunHwang, Jae Youn
DGIST Authors
Jang, Jae EunHwang, Jae Youn
Issue Date
2019-02
Citation
Biomedical Optics Express, 10(2), 879-891
Type
Article
Article Type
Article
Keywords
COLORIMETRIC ANALYSISMICROSCOPYDERMOSCOPYSYSTEM
ISSN
2156-7085
Abstract
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. © 2019 Optical Society of America.
URI
http://hdl.handle.net/20.500.11750/9607
DOI
10.1364/BOE.10.000879
Publisher
The Optical Society
Related Researcher
  • Author Jang, Jae Eun Advanced Electronic Devices Research Group(AEDRG) - Jang Lab.
  • Research Interests Nanoelectroinc device; 생체 신호 센싱 시스템 및 생체 모방 디바이스; 나노 통신 디바이스
Files:
Collection:
Department of Information and Communication EngineeringAdvanced Electronic Devices Research Group(AEDRG) - Jang Lab.1. Journal Articles
Department of Information and Communication EngineeringMBIS(Multimodal Biomedical Imaging and System) Laboratory1. Journal Articles


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE