A Review on White Blood Cells Segmentation

A Review on Blood Vessel Segmentation Algorithm

Retinal vessel segmentation algorithms are important in automatic retinal disease screening systems. Images captured from fundus camera are useful in screening various diseases affecting retina by processing the images for better diagnosis and planning of treatment. Ophthalmology is a branch of biomedical field which requires computer aided automated techniques for pathology identification in h...

Detection of Acute Leukemia Using White Blood Cells Segmentation Based on Blood Samples

In order to improve patient diagnosis various image processing software are developed to extract useful information from medical images. An essential part of the diagnosis and treatment of leukemia is the visual examination of the patient’s peripheral blood smear under the microscope. Morphological changes in the white blood cells are commonly used to determine the nature of the malignant cells...

About White Blood Cells

The Effect of a Single Session of Eccentric Resistance Exercise on Some Parameters of White Blood Cells

It is reported that resistance exercise causes an elevation of white blood cells (WBC) and some of its parameters such as neutrophils (NUT) and lymphocytes (LYM) but there isn’t enough study about eccentric exercise (ECC). So, the purpose of this study was to investigate the effect of a single session of eccentric resistance exercise on some parameters of white blood cells. Twelve volunte...

Overlapping White Blood Cell Segmentation and Counting on Microscopic Blood Cell Images

Overlapping white blood cell identification on microscopic blood cell images is proposed for increasing the accuracy of white blood cell segmentation and counting. The accurate identification of overlapping cells can increase the accuracy of cell counting system for diagnosing diseases. The overlapping cells have different characteristic such as area and shape with a single cell of microscopic ...