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These previous studies focused on detect automated COVID-19 from X-ray images

These previous studies focused on detect automated COVID-19 from X-ray images p15Bd

These previous studies focused on detect automated COVID-19 from X-ray images or CT images for patient lungs by using CNN and deep learning techniques and transfer learning. However, a few other studies to date have used cross-validation to check the accuracy and other performance metrics of their results. The current study introduces mechanisms based on deep learning and transfer of learning in order to detect covid 19 from x-ray images of the lungs, these mechanisms build on the mechanisms that were presented in the literature review, but K-fold Cross Validation was added in order to obtain a true accuracy of the system and calculated many of performance metrics which help in explaining the best pre-trained networks and the best classifier.

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 techniques and transfer You use this word too often, consider replacing it withinformationtrainingliteraturesciencestudyschooling
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 cross-validation to This phrase/word (depending on the context) can be potentially replaced with :monitor
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 the accuracy and other performance metrics of their results. The This phrase/word (depending on the context) can be potentially replaced with :contemporarymodern
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 study introduces mechanisms based on deep You use this word too often, consider replacing it withinformationtrainingliteraturesciencestudyschooling
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 from x-ray images of the lungs, these mechanisms build on the mechanisms that were presented
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 K-fold Cross Validation was This phrase/word (depending on the context) can be potentially replaced with :accrued
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 in explaining the best pre-trained networks and the best classifier. 