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10.26355/eurrev_202011_23640 http://scihub22266oqcxt.onion/10.26355/eurrev_202011_23640 33215473!ä!33215473 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\33215473.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Eur+Rev+Med+Pharmacol+Sci 2020 ; 24 (21): 11455-11460 Nephropedia Template TP {{tp|p=33215473|t=2020. Deep learning applications to combat the dissemination of COVID-19 disease: a review |pdf=|usr=}}{{33215473}} gab.com Text Deep learning applications to combat the dissemination of COVID-19 disease: a review JO: Eur Rev Med Pharmacol Sci http://www.kidney.de/pget.php?&tw=1&pmid=33215473 #FOAvip Recent Coronavirus (COVID-19) is one of the respiratory diseases, and it is known as fast infectious ability. This dissemination can be decelerated by diagnosing and quarantining patients with COVID-19 at early stages, thereby saving numerous lives. Reverse transcription-polymerase chain reaction (RT-PCR) is known as one of the primary diagnostic tools. However, RT-PCR tests are costly and time-consuming; it also requires specific materials, equipment, and instruments. Moreover, most countries are suffering from a lack of testing kits because of limitations on budget and techniques. Thus, this standard method is not suitable to meet the requirements of fast detection and tracking during the COVID-19 pandemic, which motived to employ deep learning (DL)/convolutional neural networks (CNNs) technology with X-ray and CT scans for efficient analysis and diagnostic. This study provides insight about the literature that discussed the deep learning technology and its various techniques that are recently developed to combat the dissemination of COVID-19 disease. Twit Text FOAVip Deep learning applications to combat the dissemination of COVID-19 disease: a review ????Eur Rev Med Pharmacol Sci http://www.kidney.de/pget.php?&tw=1&pmid=33215473 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33215473 #FOAvip English Wikipedia <ref>{{Cite pmid|33215473}}</ref> Deep learning applications to combat the dissemination of COVID-19 disease: a review #MMPMID33215473 Alsharif MH; Alsharif YH; Yahya K; Alomari OA; Albreem MA; Jahid A Eur Rev Med Pharmacol Sci 2020[Nov]; 24 (21): 11455-11460 PMID33215473show ga Recent Coronavirus (COVID-19) is one of the respiratory diseases, and it is known as fast infectious ability. This dissemination can be decelerated by diagnosing and quarantining patients with COVID-19 at early stages, thereby saving numerous lives. Reverse transcription-polymerase chain reaction (RT-PCR) is known as one of the primary diagnostic tools. However, RT-PCR tests are costly and time-consuming; it also requires specific materials, equipment, and instruments. Moreover, most countries are suffering from a lack of testing kits because of limitations on budget and techniques. Thus, this standard method is not suitable to meet the requirements of fast detection and tracking during the COVID-19 pandemic, which motived to employ deep learning (DL)/convolutional neural networks (CNNs) technology with X-ray and CT scans for efficient analysis and diagnostic. This study provides insight about the literature that discussed the deep learning technology and its various techniques that are recently developed to combat the dissemination of COVID-19 disease. |*Deep Learning[MESH] |Betacoronavirus/genetics/isolation & purification[MESH] |COVID-19[MESH] |Coronavirus Infections/*diagnosis/*prevention & control/transmission/virology[MESH] |Humans[MESH] |Image Processing, Computer-Assisted/*methods[MESH] |Lung/*diagnostic imaging[MESH] |Pandemics/*prevention & control[MESH] |Patient Isolation[MESH] |Pneumonia, Viral/*diagnosis/*prevention & control/transmission/virology[MESH] |Polymerase Chain Reaction[MESH] |Predictive Value of Tests[MESH] |Quarantine[MESH] |RNA, Viral/isolation & purification[MESH] |Radiography, Thoracic[MESH] |SARS-CoV-2[MESH]Deep learning applications to combat the dissemination of COVID-19 dis(epmc).pdf DeepDyve Pubget Overpricing