Development of Digital Image Processing Methodology WT-MO: An Algorithm of High Accuracy in Detection And Counting of Erythrocytes, Leucocytes, Blasts

Abstract

Results: The experiments were conducted using 10 digital blood smears obtained from online and open access platforms. The mean number of red cells and leukocytes per field was 61 and 14 cells, respectively. The results showed high accuracy in the detection of red blood cells (90%) and leukocytes (90%), as well as sensitivity (90%) and specificity (90%). Conclusion: The WT-MO algorithm was computer-tested with an Intel Core i3 processor to determine how many seconds the methodology requires to analyze an image. In this way, the average execution time was 3.32 seconds. Therefore, the WT-MO methodology can be seen as the first step to perform the hemogram test with low cost and without loss of quality, speed and reliability.

A Metaheuristic Algorithm for Classification of White Blood Cells in Healthcare Informatics

“…Still considering the execution in cloud computing technology, with the whole process of counting and identifying cells using this type of platform. Since it must be examined that this type of exam can be undertaken by low-cost methodologies, at the same time with features that avoid locking the devices due to the incompatibility of the operating system and derivatives [51][52][53].…”