Publication Type : Journal Article, Conference Proceedings
Publisher : IEEE
Source : IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)
Url : https://ieeexplore.ieee.org/abstract/document/9641513
Campus : Amaravati
School : School of Engineering
Year : 2021
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.
Cite this Research Publication : P. S, K. Devika and V. R. Murthy Oruganti, An Unsupervised Approach for COVID-19 Detection using Chest CT Images. 2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), 2021.