Comparison of lung CT images segmentation accuracy in patients with covid -۱۹ using K-means and Fuzzy C-means

Image segmentation is a fundamental step to analyze images and extract data from them. Image segmentation is considered as most essential medical imaging process since it extracts the region of interest through a semi-automatic or automatic process. In this paper, two algorithms (i.e., K-means and Fuzzy C-means) have been used to segment the lung computed tomography (CT) images of patients with Covid-۱۹. Finally, the results of images segmentation are examined to measure the accuracy of the algorithms.

کلیدواژه ها:

Covid-۱۹ ، CT image ، Fuzzy C-means ، K-means ، Segmentation