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10.1016/j.matpr.2021.03.650 http://scihub22266oqcxt.onion/10.1016/j.matpr.2021.03.650 33880332!8049837!33880332     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Mater+Today+Proc 2021 ; 47 (ä): 76-79 Nephropedia Template TP {{tp|p=33880332|t=2021. Smart access development for classifying lung disease with chest x-ray images using deep learning |pdf=|usr=}}{{33880332}} gab.com Text Smart access development for classifying lung disease with chest x-ray images using deep learning JO: Mater Today Proc http://www.kidney.de/pget.php?&tw=1&pmid=33880332 #FOAvip Recently the world has come across a pandemic disease known as covid-19. The presence of symptoms of covid-19 and pneumonia may be alike to other types of lung illnesses. So, because of this, it is difficult for the affected person or medical experts to identify the condition. Chest x-ray provides general orientation which can be an initial investigative study in the analysis of lung diseases. Information from retenogram studies help the finding of covid-19 and pneumonia affecting the lungs. We use a Convolution Neural Network (CNN) in Tensor Flow and Keras based covid-19, pneumonia classification. The best fit model of CNN is then deployed in the Django framework for providing a better user interface and predicting the output. Twit Text FOAVip Smart access development for classifying lung disease with chest x-ray images using deep learning ????Mater Today Proc http://www.kidney.de/pget.php?&tw=1&pmid=33880332 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33880332 #FOAvip English Wikipedia <ref>{{Cite pmid|33880332}}</ref> Smart access development for classifying lung disease with chest x-ray images using deep learning #MMPMID33880332 Kumaraguru T; Abirami P; Darshan KM; Angeline Kirubha SP; Latha S; Muthu P Mater Today Proc 2021[]; 47 (ä): 76-79 PMID33880332show ga Recently the world has come across a pandemic disease known as covid-19. The presence of symptoms of covid-19 and pneumonia may be alike to other types of lung illnesses. So, because of this, it is difficult for the affected person or medical experts to identify the condition. Chest x-ray provides general orientation which can be an initial investigative study in the analysis of lung diseases. Information from retenogram studies help the finding of covid-19 and pneumonia affecting the lungs. We use a Convolution Neural Network (CNN) in Tensor Flow and Keras based covid-19, pneumonia classification. The best fit model of CNN is then deployed in the Django framework for providing a better user interface and predicting the output. äSmart access development for classifying lung disease with chest x-ray(epmc).pdf DeepDyve Pubget Overpricing