An Unsupervised Approach for COVID-19 Detection using Chest CT Images | IEEE Conference Publication | IEEE Xplore

An Unsupervised Approach for COVID-19 Detection using Chest CT Images


Abstract:

In this work we assume we have data of normal (healthy) and general pneumonia infected subjects. Based on this knowledge, can we predict COVID-19 infection as abnormal he...Show More

Abstract:

In this work we assume we have data of normal (healthy) and general pneumonia infected subjects. Based on this knowledge, can we predict COVID-19 infection as abnormal health condition? If so what is the severity of infection? This study will help identify new variants, mutations of COVID-19 as abnormal health conditions. In long term, our study can help identify new infections altogether based on data of healthy subjects itself.
Date of Conference: 30 September 2021 - 02 October 2021
Date Added to IEEE Xplore: 22 December 2021
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Conference Location: Bangalore, India

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