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COVID 2020 : Computational Approaches for COVID-19 Disease Medical Image Analysis

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Link: https://bentham.manuscriptpoint.com/submit/Submission/submissionForm/2083/m
 
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Call For Papers

The COVID-19 disease has been a significant human obstacle since the Second World War (WW2). It is highly contagious and has infected more than one million people around the world. In addition to rising the number of illnesses, we have also witnessed since then the number of deaths and our lifestyle, such as the need for social distances. This problem needs to be discussed as a matter of urgency worldwide. Scientists can provide observations and advice and new discoveries in computer and interactive sciences that can have positive effects and results in causes, remedies and analyses. Computational techniques can play a significant role in simplifying and accelerating COVID-19 patient diagnosis, delivering high-quality test outcomes, and accurate pro-predictive modeling. This calls for pioneering methods such as neural network, deep learning, artificial intelligence, and machine intelligence as they are very significant. Computational approaches for COVID-19 disease will give values to scientists in combination with advanced artificial intelligence techniques. We are searching for innovative and unpublished research focused on computational approaches for COVID-19 disease. This special issue aims to bring together researchers and developers from academic, medical fields, and industries around the world to create medical technologies using multimedia approaches to benefit humanity and enhance innovation in medical analysis.


Lead Guest Editor:
Dr. Gaurav Dhiman
Email: gdhiman0001@gmail.com
Webpage: http://dhimangaurav.com/

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