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10.1177/2472630320962002 http://scihub22266oqcxt.onion/10.1177/2472630320962002 32997560!7533467!32997560     free     free     free       SLAS+Technol 2020 ; 25 (6): 566-572 Nephropedia Template TP {{tp|p=32997560|t=2020. Detection Methods of COVID-19 |pdf=|usr=}}{{32997560}} gab.com Text Detection Methods of COVID-19 JO: SLAS Technol http://www.kidney.de/pget.php?&tw=1&pmid=32997560 #FOAvip Since being first detected in China, coronavirus disease 2019 (COVID-19) has spread rapidly across the world, triggering a global pandemic with no viable cure in sight. As a result, national responses have focused on the effective minimization of the spread. Border control measures and travel restrictions have been implemented in a number of countries to limit the import and export of the virus. The detection of COVID-19 is a key task for physicians. The erroneous results of early laboratory tests and their delays led researchers to focus on different options. Information obtained from computed tomography (CT) and radiological images is important for clinical diagnosis. Therefore, it is worth developing a rapid method of detection of viral diseases through the analysis of radiographic images. We propose a novel method of detection of COVID-19. The purpose is to provide clinical decision support to healthcare workers and researchers. The article is to support researchers working on early detection of COVID-19 as well as similar viral diseases. Twit Text FOAVip Detection Methods of COVID-19 ????SLAS Technol http://www.kidney.de/pget.php?&tw=1&pmid=32997560 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32997560 #FOAvip English Wikipedia <ref>{{Cite pmid|32997560}}</ref> Detection Methods of COVID-19 #MMPMID32997560 Echtioui A; Zouch W; Ghorbel M; Mhiri C; Hamam H SLAS Technol 2020[Dec]; 25 (6): 566-572 PMID32997560show ga Since being first detected in China, coronavirus disease 2019 (COVID-19) has spread rapidly across the world, triggering a global pandemic with no viable cure in sight. As a result, national responses have focused on the effective minimization of the spread. Border control measures and travel restrictions have been implemented in a number of countries to limit the import and export of the virus. The detection of COVID-19 is a key task for physicians. The erroneous results of early laboratory tests and their delays led researchers to focus on different options. Information obtained from computed tomography (CT) and radiological images is important for clinical diagnosis. Therefore, it is worth developing a rapid method of detection of viral diseases through the analysis of radiographic images. We propose a novel method of detection of COVID-19. The purpose is to provide clinical decision support to healthcare workers and researchers. The article is to support researchers working on early detection of COVID-19 as well as similar viral diseases. |Algorithms[MESH] |COVID-19/*diagnosis[MESH] |Clinical Decision-Making[MESH] |Computer Simulation[MESH] |Datasets as Topic[MESH] |Deep Learning[MESH] |Humans[MESH] |Image Processing, Computer-Assisted/*methods[MESH] |Lung/*diagnostic imaging[MESH] |Neural Networks, Computer[MESH] |Pandemics[MESH] |Pneumonia/*diagnosis[MESH] |SARS-CoV-2/*physiology[MESH] |Sensitivity and Specificity[MESH]Detection Methods of COVID-19 (epmc).pdf DeepDyve Pubget Overpricing