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Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach

Medicine and Health

Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach

S. Punitha, T. Stephan, et al.

This groundbreaking research introduces a Computer Aided Diagnosis (CAD) system for COVID-19 detection, leveraging an Artificial Bee Colony (ABC) optimized Artificial Neural Network (ABCNN). The method accurately classifies lung CT images as COVID-19 or non-COVID-19 with an impressive accuracy of 92.37%. Conducted by esteemed authors S Punitha, Thompson Stephan, Ramani Kannan, MUFTI Mahmud, M Shamim Kaiser, and SAMIR Brahim Belhaouari, this study pushes the boundaries of medical image analysis.

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