Custom YOLOV4 object detection model for COVID-19 diagnosis and cell counting

After different consecutive waves, the pandemic phase of COVID-19, which started in Wuhan, China, seems to have no imminent end worldwide transmission of the SARS coronavirus has prompted the World Health Organization to proclaim a worldwide pandemic (known as COVID-19). Its effects on regular life...

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Bibliographische Detailangaben
Hauptverfasser:	Ali, Noor Najah, Hameed, Aseel, Al-Naji, Ali
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial intelligence Blood cells Coronaviruses COVID-19 Diagnostic systems Disease transmission Electron microscopy Health surveillance Image processing Machine learning Medical imaging Object recognition Pandemics Surveillance systems Viral diseases Viruses
Online-Zugang:	Volltext
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