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10.1016/j.matpr.2021.07.367 http://scihub22266oqcxt.onion/10.1016/j.matpr.2021.07.367 34312594!8295010!34312594     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Mater+Today+Proc 2023 ; 80 (ä): 3709-3713 Nephropedia Template TP {{tp|p=34312594|t=2023. Detail-Oriented Capsule Network for classification of CT scan images performing the detection of COVID-19 |pdf=|usr=}}{{34312594}} gab.com Text Detail-Oriented Capsule Network for classification of CT scan images performing the detection of COVID-19 JO: Mater Today Proc http://www.kidney.de/pget.php?&tw=1&pmid=34312594 #FOAvip COVID-19 is one of the biggest pandemics that the world is facing today, and every day, we are coming up with new challenges in this area. Still, much research is already going on to overcome this pandemic, and we also get succeeded to some extent. Diverse sources such as MRI, CT scanning, blood samples, X-ray image, and many more are available to detect COVID-19. Thus, it can be easily said that through image processing, the classification of COVID-19 can be done. In this study, the COVID-19 detection is done by classifying with the use of a type of convolutional neural network termed a detail-oriented capsule network. Chest CT scan imaging for the prediction of COVID-19 and non-COVID-19 are classified in the present paper using a Detailed Oriented capsule network (DOCN). Accuracy, specificity, and sensitivity are parameters used for model evaluation. The proposed model has achieved 98% accuracy, 81% sensitivity, and 98.4% specificity. Twit Text FOAVip Detail-Oriented Capsule Network for classification of CT scan images performing the detection of COVID-19 ????Mater Today Proc http://www.kidney.de/pget.php?&tw=1&pmid=34312594 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34312594 #FOAvip English Wikipedia <ref>{{Cite pmid|34312594}}</ref> Detail-Oriented Capsule Network for classification of CT scan images performing the detection of COVID-19 #MMPMID34312594 Modi S; Guhathakurta R; Praveen S; Tyagi S; Bansod SN Mater Today Proc 2023[]; 80 (ä): 3709-3713 PMID34312594show ga COVID-19 is one of the biggest pandemics that the world is facing today, and every day, we are coming up with new challenges in this area. Still, much research is already going on to overcome this pandemic, and we also get succeeded to some extent. Diverse sources such as MRI, CT scanning, blood samples, X-ray image, and many more are available to detect COVID-19. Thus, it can be easily said that through image processing, the classification of COVID-19 can be done. In this study, the COVID-19 detection is done by classifying with the use of a type of convolutional neural network termed a detail-oriented capsule network. Chest CT scan imaging for the prediction of COVID-19 and non-COVID-19 are classified in the present paper using a Detailed Oriented capsule network (DOCN). Accuracy, specificity, and sensitivity are parameters used for model evaluation. The proposed model has achieved 98% accuracy, 81% sensitivity, and 98.4% specificity. äDetail-Oriented Capsule Network for classification of CT scan images p(epmc).pdf DeepDyve Pubget Overpricing