Author: Min Fu; Shuang-Lian Yi; Yuanfeng Zeng; Feng Ye; Yuxuan Li; Xuan Dong; Yan-Dan Ren; Linkai Luo; Jin-Shui Pan; Qi Zhang
Title: Deep Learning-Based Recognizing COVID-19 and other Common Infectious Diseases of the Lung by Chest CT Scan Images Document date: 2020_3_30
ID: 96r8l6vq_2
Snippet: According to the WHO interim guidance (2) and series diagnosis and treatment scheme 97 for COVID-19 of China, confirmed case of COVID-19 was made on the basis of a 98 positive result on high-throughput sequencing or real-time 99 reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assay of specimen 100 collected by nasal and pharyngeal swab. However, the false negative rate of nucleic 101 acid detection may be relatively high in early stage o.....
Document: According to the WHO interim guidance (2) and series diagnosis and treatment scheme 97 for COVID-19 of China, confirmed case of COVID-19 was made on the basis of a 98 positive result on high-throughput sequencing or real-time 99 reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assay of specimen 100 collected by nasal and pharyngeal swab. However, the false negative rate of nucleic 101 acid detection may be relatively high in early stage of 102 repeated tests are needed to get positive results. Novel coronavirus that leads to 103 COVID-19 is encoded by RNA, which is a highly unstable and tends to be degraded 104 by RNAase. RNAase is widely found in saliva and surrounding environment. Thus, 105 RNA of novel coronavirus in the specimen collected by nasal and pharyngeal swab 106 All rights reserved. No reuse allowed without permission. the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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