Classification and detection of Covid-19 based on X-Ray and CT images using deep learning and machine learning techniques: A bibliometric analysis
During the COVID-19 pandemic, it was crucial for the healthcare sector to detect and classify the virus using X-ray and CT scans. This has underlined the need for advanced Deep Learning and Machine Learning approaches to effectively spot and manage the virus's spread. Indeed, researchers worldw...
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Main Authors: | Youness Chawki, Khalid Elasnaoui, Mohamed Ouhda |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-03-01
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Series: | AIMS Electronics and Electrical Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/electreng.2024004 |
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