Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques …
Background The acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease seriously
affected worldwide health. It remains an important worldwide concern as the number of
patients infected with this virus and the death rate is increasing rapidly. Early diagnosis is
very important to hinder the spread of the coronavirus. Therefore, this article is intended to
facilitate radiologists automatically determine COVID-19 early on X-ray images. Iterative
Neighborhood Component Analysis (INCA) and Iterative ReliefF (IRF) feature selection …
affected worldwide health. It remains an important worldwide concern as the number of
patients infected with this virus and the death rate is increasing rapidly. Early diagnosis is
very important to hinder the spread of the coronavirus. Therefore, this article is intended to
facilitate radiologists automatically determine COVID-19 early on X-ray images. Iterative
Neighborhood Component Analysis (INCA) and Iterative ReliefF (IRF) feature selection …
以上显示的是最相近的搜索结果。 查看全部搜索结果