GWO Based Feature Selection Method for COVID-19 Pneumonia Classification

The novel Coronavirus 2019 (COVID-19) outbreak has had a catastrophic impact on the health support system and human state of mind across the countries. Initial screening emphasizes detecting the virus genome, but it is a time-consuming process that requires skilled personnel. Inspired by this, literature studies proffered deep-learning-based methods to swiftly detect the presence of COVID-19 with the aid of medical imaging such as X-rays. Going through these studies, we intimated that the analysts are more centered on deep-learning methods, and other techniques, such as nature-inspired optimization (NIO) algorithms, are less contemplated. The objective is to propose a cost-effective COVID-19 classification system with biomedical imaging and pioneering meta-heuristic algorithms such as PSO and GWO.