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10.3233/SHTI210175 http://scihub22266oqcxt.onion/10.3233/SHTI210175 34042760!ä!34042760 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Stud+Health+Technol+Inform 2021 ; 281 (ä): 332-336 Nephropedia Template TP {{tp|p=34042760|t=2021. DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning |pdf=|usr=}}{{34042760}} gab.com Text DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning JO: Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=34042760 #FOAvip Coronavirus disease is a pandemic that has infected millions of people around the world. Lung CT-scans are effective diagnostic tools, but radiologists can quickly become overwhelmed by the flow of infected patients. Therefore, automated image interpretation needs to be achieved. Deep learning (DL) can support critical medical tasks including diagnostics, and DL algorithms have successfully been applied to the classification and detection of many diseases. This work aims to use deep learning methods that can classify patients between Covid-19 positive and healthy patient. We collected 4 available datasets, and tested our convolutional neural networks (CNNs) on different distributions to investigate the generalizability of our models. In order to clearly explain the predictions, Grad-CAM and Fast-CAM visualization methods were used. Our approach reaches more than 92% accuracy on 2 different distributions. In addition, we propose a computer aided diagnosis web application for Covid-19 diagnosis. The results suggest that our proposed deep learning tool can be integrated to the Covid-19 detection process and be useful for a rapid patient management. Twit Text FOAVip DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning ????Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=34042760 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34042760 #FOAvip English Wikipedia <ref>{{Cite pmid|34042760}}</ref> DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning #MMPMID34042760 Hadj Bouzid AI; Yahiaoui S; Lounis A; Berrani SA; Belbachir H; Naili Q; Abdi MEH; Bensalah K; Belazzougui D Stud Health Technol Inform 2021[May]; 281 (ä): 332-336 PMID34042760show ga Coronavirus disease is a pandemic that has infected millions of people around the world. Lung CT-scans are effective diagnostic tools, but radiologists can quickly become overwhelmed by the flow of infected patients. Therefore, automated image interpretation needs to be achieved. Deep learning (DL) can support critical medical tasks including diagnostics, and DL algorithms have successfully been applied to the classification and detection of many diseases. This work aims to use deep learning methods that can classify patients between Covid-19 positive and healthy patient. We collected 4 available datasets, and tested our convolutional neural networks (CNNs) on different distributions to investigate the generalizability of our models. In order to clearly explain the predictions, Grad-CAM and Fast-CAM visualization methods were used. Our approach reaches more than 92% accuracy on 2 different distributions. In addition, we propose a computer aided diagnosis web application for Covid-19 diagnosis. The results suggest that our proposed deep learning tool can be integrated to the Covid-19 detection process and be useful for a rapid patient management. |*COVID-19[MESH] |*Deep Learning[MESH] |COVID-19 Testing[MESH] |Humans[MESH] |Lung[MESH] |SARS-CoV-2[MESH]DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Dee(epmc).pdf DeepDyve Pubget Overpricing