A SCALABLE CLOUD-BASED FRAMEWORK FOR COVID-19 DETECTION USING OPTIMIZED IMAGE PROCESSING TECHNIQUES – International Journal of Social Sciences and Management Review

A SCALABLE CLOUD-BASED FRAMEWORK FOR COVID-19 DETECTION USING OPTIMIZED IMAGE PROCESSING TECHNIQUES

Authors: Abdelrahman M. Helmi, Sayed A. Abdelgaber & Samah A. Bastawy

ABSTRACT

The COVID-19 pandemic has profoundly impacted global health, disrupting millions of lives and straining healthcare systems worldwide. The ongoing challenge of effectively diagnosing and managing the virus underscores the critical need for innovative solutions that enhance early detection and streamline healthcare processes. Artificial Intelligence (AI) has proven to be a transformative force across various sectors, offering the capability to learn from data, adapt to new scenarios, and perform tasks traditionally requiring human intelligence. In healthcare, AI’s potential to revolutionize disease detection and management is increasingly evident, prompting significant research efforts focused on leveraging AI to combat COVID-19. This paper firstly presents a comprehensive review of recent AI models and techniques used in virus diagnosis, showcasing different approaches employed in both existing and novel solutions across various inputs, such as images and biomedical data by provide an overview of these models’ performance, highlighting their strengths and limitations. In addition, this paper presents a scalable cloud-based framework specifically designed for the detection of COVID-19 using optimized image processing techniques by leveraging cloud computing and streamlined model architectures to ensure efficient and scalable analysis of medical images. By examining the integration of AI and cloud technologies, this research contributes to the ongoing development of innovative diagnostic tools that aim to mitigate the impact of COVID-19 and improve patient outcomes. This approach aims to assist healthcare professionals by providing an automated, reliable, and accessible diagnostic tool for COVID-19.

Keywords: component; COVID-19, Image Processing, Cloud Computing, Medical Imaging, Deep Learning, Healthcare Support

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