COVID-19 infection detection using convolutional self-attention network with voting classifier
A robust deep learning framework that integrates a convolutional self-attention network, gamma correction for image enhancement, and a voting-based ensemble classifier to improving diagnostic performance is proposed, suggesting that the proposed framework is supporting automated COVID-19 diagnosis in real-world clinica...