Automatic quantification and classification of leukocytes in microscopic images are of
paramount importance in the perspective of disease identification, its progress and drugs …

In this paper, we propose a complete, fully automatic and efficient clinical decision support
system for breast cancer malignancy grading. The estimation of the level of a cancer …

This paper proposes image processing algorithms to recognize five types of white blood
cells in peripheral blood automatically. First, a method based on Gram–Schmidt …

In this paper, automated approach of leukaemia detection is proposed. In a manual method
of Leukaemia detection, experts check the microscopic images. This is lengthy and time …

The counts, the so-called differential counts, and sizes of different types of white blood cells
provide invaluable information to evaluate a wide range of important hematic pathologies …

Leukemia is a hematologic cancer which develops in blood tissue and triggers rapid
production of immature and abnormal-shaped White Blood Cells. Based on statistics it is …

Blood leucocytes segmentation in medical images is viewed as difficult process due to the
variability of blood cells concerning their shape and size and the difficulty towards …

Blood is composed of white blood cells, red blood cells, and platelets. Segmentation of the
blood smear cells and extraction of features of the cells is essential in the field of medicine …

This paper aims at introducing an automated approach to leukocyte recognition using fuzzy
divergence and modified thresholding techniques. The recognition is done through the …

In human body, different types of diseases can be found while examining blood samples. In
this paper, the main aim is to detect leukocytes from human blood. These leukocytes protect …