Covid-19 X-ray image classification using SVM based on Local Binary Pattern
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Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Coronavirus usually transmits from the animal
to the human, but now, the virus transmission is between
persons. Therefore, scientists and researchers are trying to
develop several types of machine learning methods to defend
against COVID-19. Medical images play a significant role in
this time due to they can be used to recognize COVID-19
accurately. However, in this paper, we used X-Ray images, the
images undergone to sharpening techniques to increase the
results further. The texture techniques named local binary
pattern (LBP) have been used in order to extract features. The
features obtained were applied to the support vector machine
(SVM). The results we achieved were 100% for all
performance measurements. Our results were conspicuously
superior compared to the state-of-the-art papers published.
Açıklama
Anahtar Kelimeler
Convolutional Neural Networks, SVM, Local Binary Pattern (LBP), COVID-19, Deep Learning, X-Ray Image
Kaynak
IEEE
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Al-Jumaili, S., Al-Azzawi, A., Duru, A. D., & Ibrahim, A. A. (2021, October). Covid-19 X-ray image classification using SVM based on Local Binary Pattern. In 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 383-387). IEEE.
