Scientist Proposes Use of Convolutional Neural Networks to Detect and Classify COVID-19 Infection

Article title: Implementation of convolutional neural network approach for COVID-19 disease detection

Author: Emrah Irmak

From the author: “In this paper, two novel and fully automatic studies using deep convolutional neural networks [CNN] are presented for COVID-19 detection and virus classification. Two novel, powerful and robust CNN architectures are designed and proposed for two different classification tasks using publicly available datasets.”

This study is highlighted as one of December’s “best of the best” as part of the American Physiological Society’s APSselect program.