Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique

By Aytaç Altan, Seçkin Karasu. Chaos, Solitons & Fractals, 2020

327 citations recorded by the source corpus.

Highlights • A new hybrid COVID-19 recognition model based on deep learning technique.• Model performance improvement with the help of chaotic optimization algorithm.• Diagnosis of COVID-19 cases by the rapid and high accuracy.• Examining the effect of curvelet transform on the performance of the model.

Subfields: Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/9b136dc64d909eb9cda0009b09b1e86d6cf49668