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• W3194668093 abstract "The spread of COVID-19 disease rapidly worldwide and the increase in deaths are a threat to humanity. This threat prompted researchers in deep learning (DL) to find ways to diagnose COVID-19 from computed tomography (CT) or x-rays. Working deep learning identifies the infection accurately through medical imaging, and the practising radiologist can diagnose the illness.This survey will discuss the reason behind deep learning and the technology used in medical image processing. Exposure to the most common research in the recent period uses deep learning techniques in the medical field. We will then collect research related to diagnosing COVID-19 by using medical images, studying them, discussing the better future suggestion and methods proposed by other researchers. We focus on initial available research that detects COVID-19 by deep learning and sees how they can save time and effort in this field." @default.
• W3194668093 created "2021-08-30" @default.
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• W3194668093 date "2021-04-28" @default.
• W3194668093 modified "2023-09-26" @default.
• W3194668093 title "Survey on using deep learning to detection COVID-19 disease" @default.
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• W3194668093 doi "https://doi.org/10.1109/bicits51482.2021.9509924" @default.
• W3194668093 hasPublicationYear "2021" @default.
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