Nebojsa Budimirovic1, E. Prabhu2, Milos Antonijevic1, Miodrag Zivkovic1, Nebojsa Bacanin1,*, Ivana Strumberger1, K. Venkatachalam3
CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1685-1698, 2022, DOI:10.32604/cmc.2022.023418
- 24 February 2022
Abstract Computerized tomography (CT) scans and X-rays play an important role in the diagnosis of COVID-19 and pneumonia. On the basis of the image analysis results of chest CT and X-rays, the severity of lung infection is monitored using a tool. Many researchers have done in diagnosis of lung infection in an accurate and efficient takes lot of time and inefficient. To overcome these issues, our proposed study implements four cascaded stages. First, for pre-processing, a mean filter is used. Second, texture feature extraction uses principal component analysis (PCA). Third, a modified whale optimization algorithm is More >
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