The Evolutionary Machine Learning Modelto Detect the COVID 19 Infections due in Medical Images.
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Abstract
In processing Computer Tomography (CT) medical images, some of the image processing
works use evolutionary algorithms. Evolutionary algorithms are the part of evolutionary computing
and they are considered as metaheuristic optimization algorithm. Meta-heuristic is a heuristic
designed to find, generate, or select a heuristic (partial search algorithm) or higher-level procedure
which provides an adequate solution to an optimization problem, especially with incomplete or
imperfect information or limited computation capacity. Metaheuristics can be used to a variety of
problems especially matching or searching that may make relatively few assumptions about the
optimization problem being solved. CT scan medical images can be examined to check whether the
patient is infected due to COVID 19. Here three different evolutionary algorithms are used in various
steps for the medical image processing. Initially the Cuckoo search algorithm is used to monitor a
Kapur/Otsu image thresholding and then a segmentation algorithm to extract the pneumonia infection. An improved marine predator algorithm is used for X-Ray image segmentation.
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