What is it about?
Accurate detection Covid-19 in x-ray/CT images was proposed by testing ten deep learning models with various deep procedures for higher diagnosis accuracy. With automatic Mobile patient notified of the examination result and sending it in case of injury to the Email of health center to electronically storage the injured cases, as well as to the WhatsApp Covid-19 group of for community health isolation procedures.
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Why is it important?
-Determine the most accurate model for both types of images 99.94% of accuracy, 98.70% of sensitivity, and 100% of specificity scores were obtained by the Xception model in the x-ray dataset and the InceptionV3 model for CT scan images 2-The result of the examination is automatically sent to the patient's mobile within minutes. 3-Automatically send the injured name to the email of the health units to keep the names of the injured to donate plasma and for future studies. 4-Automatically send to Covid group in WhatsApp for quarantine procedures
Perspectives
Writing this article was very interesting as a contribution to the fight against the Corona epidemic, which they found had great repercussions in all areas
Ahlam Mahmood
University of Mosul
Read the Original
This page is a summary of: Auto informing COVID-19 detection result from x-ray/CT images based on deep learning, Review of Scientific Instruments, August 2021, American Institute of Physics,
DOI: 10.1063/5.0059829.
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