Blood Smear Leukocyte Identification Using an Image Segmentation Approach

The focus of this study is on biomedical image data processing and analysis. The primary objective is to identify leukocytes in blood smear samples and determine their quantities. Since the manual laboratory processing of this data is a laborious task, it is susceptible to subjectivity and time-consuming. Hence, the objective of this study is to examine contemporary processing methodologies and existing technologies that have the potential to speed up and automate this procedure. This study presents a concept that utilizes existing methods to address a problem, including a unique sequence of operations. Finally, it evaluates the accuracy of this approach for future research. This approach has the potential to be used in the diagnosis of a range of disorders, including blood malignancies or infections.