Classification Of Covid Patients Based On Detection Of Lung X-Rays Using Local Binary Pattern Method

被引：0
|
作者：
Kartika, Dhian Satria Yudha [1 ]
Wulansari, Anita [1 ]
Safitri, Eristya Maya [1 ]
Maulana, Hendra [2 ]
Wibowo, Nur Cahyo [1 ]
机构：
[1] Univ Pembangunan Nasl Vet Jawa Timur, Fac Comp Sci, Dept Informat Syst, Surabaya, Indonesia
[2] Univ Pembangunan Nasl UPN Vet Jawa Timur, Fac Comp Sci, Dept Informat, Surabaya, Indonesia
来源：
2021 4TH INTERNATIONAL SEMINAR ON RESEARCH OF INFORMATION TECHNOLOGY AND INTELLIGENT SYSTEMS (ISRITI 2021) | 2020年
关键词：
pandemic; covid-19; image processing; lung x-rays; local binary pattern; classification;
D O I：
10.1109/ISRITI54043.2021.9702828
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
High number of deaths due to Covid-19 outbreak affect people in various ways including their economic and psychological side. Previous studies were carried out in analyzing various symptoms in COVID-19 patients. Patients in severe conditions are usually found with a white spot in their lungs. Therefore chest x-ray is one of the necessary medical assessment to examine the patients. This study focus on determining whether a patient suffered from COVID-19 by analyzing their chest X-rays photos. A total of 864 X-rays photos were used as a dataset. Earlier steps in processing the dataset included removing the noise, equalizing the size and increasing the accuracy value. The Local Binary Pattern (LBP) method was used to extract the dataset feature. The performance analysis result was a precision value of 78.5%, recall of 78%, andcmeasure of 79%.
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页数：5
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