This paper addresses essential hematology that is automatically segmenting blood cells. We
consider a unique hybrid ellipse fitting (EF) based blood-cell segmentation technique that …

The automatic segmentation of blood cells for detecting hematological disorders is a crucial
job. It has a vital role in diagnosis, treatment planning, and output evaluation. The existing …

A important task in the detection of hematological abnormalities is the automated
segmentation of blood cells. It is essential for diagnosis, arranging treatments, and …

Shape recognition is considered as one of the challenges in automated digital image
analysis and computer vision. One of the most commonly used shapes is the ellipse which is …

The analysis of erythrocyte morphology is an important determinant in the diagnosis of many
diseases. The development of more reliable and automated image analysis techniques for …

Automatic circle detection in digital images has been considered as an important and
complex task for the computer vision community that has devoted a tremendous amount of …

Medical imaging is a relevant field of application of image processing algorithms. In
particular, the analysis of white blood cell (WBC) images has engaged researchers from …

The identification of white blood cells was important as it provided diagnosis information of
different kinds of diseases. However, traditional light microscopy based leukocyte cells …

In blood tests analysis identification of Red Blood Cell (RBC) morphology and count the
RBC number is crucial to diagnose any symptoms of blood related disease. In current …

Abstract The Segmentation of Red Blood Cells (RBCs) in blood smear images to obtain their
count is often the first step in the diagnosis of various pathological conditions. Although …