Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM. (arXiv:2206.04548v1 [eess.IV])

The COVID-19 disease was first discovered in Wuhan, China, and spread quickly
worldwide. After the COVID-19 pandemic, many researchers have begun to identify
a way to diagnose the COVID-19 using chest X-ray images. The early diagnosis of
this disease can significantly impact the treatment process. In this article,
we propose a new technique that is faster and more accurate than the other
methods reported in the literature. The proposed method uses a combination of
DenseNet169 and MobileNet Deep Neural Networks …

arxiv classification covid covid-19 features fusion images lightgbm ray x-ray