View : 11 Download: 2

Novel Image Processing Method for Detecting Strep Throat (Streptococcal Pharyngitis) Using Smartphone

Title
Novel Image Processing Method for Detecting Strep Throat (Streptococcal Pharyngitis) Using Smartphone
Authors
Askarian, BehnamYoo, Seung-ChulChong, Jo Woon
Ewha Authors
유승철
SCOPUS Author ID
유승철scopus
Issue Date
2019
Journal Title
SENSORS
ISSN
1424-8220JCR Link
Citation
SENSORS vol. 19, no. 15
Keywords
strep throatimage processingcolor spaceclassificationsmartphone
Publisher
MDPI
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
In this paper, we propose a novel strep throat detection method using a smartphone with an add-on gadget. Our smartphone-based strep throat detection method is based on the use of camera and flashlight embedded in a smartphone. The proposed algorithm acquires throat image using a smartphone with a gadget, processes the acquired images using color transformation and color correction algorithms, and finally classifies streptococcal pharyngitis (or strep) throat from healthy throat using machine learning techniques. Our developed gadget was designed to minimize the reflection of light entering the camera sensor. The scope of this paper is confined to binary classification between strep and healthy throats. Specifically, we adopted k-fold validation technique for classification, which finds the best decision boundary from training and validation sets and applies the acquired best decision boundary to the test sets. Experimental results show that our proposed detection method detects strep throats with 93.75% accuracy, 88% specificity, and 87.5% sensitivity on average.
DOI
10.3390/s19153307
Appears in Collections:
사회과학대학 > 커뮤니케이션·미디어학전공 > Journal papers
Files in This Item:
Novel Image Processing Method.pdf(4.39 MB) Download
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

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

BROWSE