Title:	UWB Microwave Imaging for Non-Invasive Anomaly Detection in Human Lung and Possible Application in COVID-19 Diagnosis: A Review

Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/1233

Title:	Title: UWB Microwave Imaging for Non-Invasive Anomaly Detection in Human Lung and Possible Application in COVID-19 Diagnosis: A Review
Authors:	Alam, Nowshin Ahmed, Abir Oni, Md Ashif Islam Meem, Tahseen Asma Rahman, Md. Abdur
Keywords:	Ultrawideband, UWB, Medical imaging, COVID-19, literature review, survey, Pneumonia Detection
Issue Date:	1-Feb-2021
Publisher:	IEEE Explore
Citation:	https://doi.org/10.1109/ICREST51555.2021.9331250
Series/Report no.:	2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (AIUB);
Abstract:	In this paper an overview of the general process and important design factors of UWB Microwave Imaging is given for medical purposes, and the feasibility of its application in the context of COVID-19 detection is discussed in brief. The recent research into COVID-19 detection using other imaging technologies are reviewed for the sake of comparison, and the research limitations for employing UWB imaging for the same goal with acceptable results are identified.
URI:	http://dspace.aiub.edu:8080/jspui/handle/123456789/1233
ISBN:	Electronic ISBN: 978-1-6654-1576-7 Print ISBN: 978-1-6654-1574-3
Appears in Collections:	Publications From Faculty of Engineering

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