Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications

Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications

The novel coronavirus disease, COVID-19, has rapidly and abruptly changed the world as we knew it in 2020. It has become the most unprecedented challenge to analytic epidemiology (AE) in general and signal processing (SP) theories specifically. In this regard, medical imaging plays an important role...

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Veröffentlicht in:IEEE signal processing magazine 2021-09, Vol.38 (5), p.37-66
Hauptverfasser: Mohammadi, Arash, Wang, Yingxu, Enshaei, Nastaran, Afshar, Parnian, Naderkhani, Farnoosh, Oikonomou, Anastasia, Rafiee, Javad, Rodrigues de Oliveira, Helder, Yanushkevich, Svetlana, Plataniotis, Konstantinos N.
Format: Magazinearticle
Sprache:eng
Schlagworte:
Coronaviruses
COVID-19
Deep learning
Diagnosis
Epidemiology
Machine learning
Medical imaging
Monitoring
Pandemics
Prognosis
Prognostics and health management
Signal processing
Viral diseases
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Beschreibung
Zusammenfassung:The novel coronavirus disease, COVID-19, has rapidly and abruptly changed the world as we knew it in 2020. It has become the most unprecedented challenge to analytic epidemiology (AE) in general and signal processing (SP) theories specifically. In this regard, medical imaging plays an important role for the management of COVID-19. SP and deep learning (DL) models can assist in the development of robust radiomics solutions for the diagnosis/prognosis, severity assessment, treatment response, and monitoring of COVID-19 patients.
ISSN:1053-5888
1558-0792
DOI:10.1109/MSP.2021.3090674