The effects of X-ray and CT scan images on the diagnosis of corona disease by deep learning networks

سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 258

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شناسه ملی سند علمی:

SMARTCITYC02_083

تاریخ نمایه سازی: 19 آذر 1400

چکیده مقاله:

to break the COVID-۱۹ outbreak chain, its diagnosis is of high importance. A solution for rapid screening of COVID-۱۹ could be the use of medical imaging such as chest Xray images or Computed Tomography “CT” scanners. Due to recent advances and applications of Artificial Intelligence (AI) in various fields, this paper aims to assist in the diagnosis of COVID-۱۹ and to prevent the severe effects of the COVID-۱۹ epidemic.In this study, we used five deep learning models CNN, ResNet۵۰, VGG۱۹, Pre-trainedVGG۱۹, Pre-trainedResNet۵۰, and we used two datasets containing ۲۴۸۸ CT images and ۲۵۴۷ X-ray images, respectively. The results show that using X-ray images in deep learning models approaches more accurateoutcomes in detecting COVID-۱۹ than CT images.

نویسندگان

Fateme Ghorbani

Apadana Institute of Higher Education, Shiraz, Iran

Seyed Mehdi Hazrati Fard

Shiraz University Shiraz, Iran

Haleh Homayouni

Faculty of Apadana Institute of Higher Education Shiraz, Iran