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10.1016/j.pdpdt.2020.101880 http://scihub22266oqcxt.onion/10.1016/j.pdpdt.2020.101880 32562732!7834065!32562732     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32562732&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Photodiagnosis+Photodyn+Ther 2020 ; 31 (?): 101880 Nephropedia Template TP {{tp|p=32562732|t=2020. Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations |pdf=|usr=}}{{32562732}} gab.com Text Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations JO: Photodiagnosis Photodyn Ther http://www.kidney.de/pget.php?&tw=1&pmid=32562732 #FOAvip * Severe lung complications can be explored using computed tomography during COVID-19 pandemic. * Ultra-low dose CT can enhance COVID-19 infected patients diagnostic capability. * Optically monitored CT along with deep learning is the best solution for diagnosis of COVID-19 during pandemic. * CT scans sensitivity (88 %) is preferable on clinical approach sensitivity (59 %) for COVID-19 suspected patients. * CT and Computer aided approaches helps the radiologist to make fast and accurate diagnosis during COVID-19 pandemic. Twit Text FOAVip Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations ????Photodiagnosis Photodyn Ther http://www.kidney.de/pget.php?&tw=1&pmid=32562732 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32562732 #FOAvip English Wikipedia <ref>{{Cite pmid|32562732}}</ref> Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations #MMPMID32562732 Qureshi SA; Rehman AU Photodiagnosis Photodyn Ther 2020[Sep]; 31 (?): 101880 PMID32562732show ga * Severe lung complications can be explored using computed tomography during COVID-19 pandemic. * Ultra-low dose CT can enhance COVID-19 infected patients diagnostic capability. * Optically monitored CT along with deep learning is the best solution for diagnosis of COVID-19 during pandemic. * CT scans sensitivity (88 %) is preferable on clinical approach sensitivity (59 %) for COVID-19 suspected patients. * CT and Computer aided approaches helps the radiologist to make fast and accurate diagnosis during COVID-19 pandemic. |*Deep Learning[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques/*methods[MESH] |Coronavirus Infections/diagnosis/*diagnostic imaging/mortality[MESH] |Diagnostic Imaging/methods[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Optical Devices[MESH] |Pandemics/prevention & control/*statistics & numerical data[MESH] |Pneumonia, Viral/*diagnostic imaging/mortality[MESH] |Quality Improvement[MESH] |Radiographic Image Enhancement/*methods[MESH] |Role[MESH] |Severe Acute Respiratory Syndrome/diagnosis/mortality[MESH] |Survival Analysis[MESH] |Tomography, X-Ray Computed/*methods[MESH]Optical techniques, computed tomography and deep learning role in the (epmc).pdf DeepDyve Pubget Overpricing