An Effective Deep Learning Model to Discriminate Coronavirus Disease From Typical Pneumonia

Autor:	Jumana Waleed, Ahmad Taher Azar, Saad Albawi, Waleed Khaild Al-Azzawi, Ibraheem Kasim Ibraheem, Ahmed Alkhayyat, Ibrahim A. Hameed, Nashwa Ahmad Kamal
Rok vydání:	2023
Předmět:	Multidisciplinary General Computer Science General Engineering General Business Management and Accounting
Zdroj:	International Journal of Service Science, Management, Engineering, and Technology. 13:1-16
ISSN:	1947-9603 1947-959X
Popis:	Current technological advances are paving the way for technologies based on deep learning to be utilized in the majority of life fields. The effectiveness of these technologies has led them to be utilized in the medical field to classify and detect different diseases. Recently, the pandemic of coronavirus disease (COVID-19) has imposed considerable press on the health infrastructures all over the world. The reliable and early diagnosis of COVID-19-infected patients is crucial to limit and prevent its outbreak. COVID-19 diagnosis is feasible by utilizing reverse transcript-polymerase chain reaction testing; however, diagnosis utilizing chest x-ray radiography is deemed safe, reliable, and precise in various cases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::018ba4647f24131461fc1c6472cb9870 https://doi.org/10.4018/ijssmet.313175 Zobrazit plný text záznamu