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10.1016/j.pdpdt.2020.101880

http://scihub22266oqcxt.onion/10.1016/j.pdpdt.2020.101880
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suck abstract from ncbi


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pmid32562732      Photodiagnosis+Photodyn+Ther 2020 ; 31 (ä): 101880
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  • 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 (ä): 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]


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