The proportion of counts of different types of white blood cells in the bone marrow, called
differential counts, provides invaluable information to doctors for diagnosis. Due to the …

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

An automatic segmentation technique for microscopic bone marrow white blood cell images
is proposed in this paper. The segmentation technique segments each cell image into three …

The paper presents a technique to automatically detect the working area of peripheral blood
smears stained with May‐Grünwuald Giemsa. The optimal area is defined as the well …

Quantitative microscopy has strengthened conventional diagnostic scheme through better
understanding of microscopic features from clinical perspective. Towards this, pathological …

Neural networks (NNs) that are trained to perform classification may not perform as well
when used as a module in a larger system. We introduce a novel, system-level method for …

The paper proposes a robust approach to automatic segmentation of leukocyte's nucleus
from microscopic blood smear images under normal as well as noisy environment by …

Despite modern technologies (immunophenotyping, molecular probing, etc.)
cytomorphologic examination of stained peripheral blood smears by microscopy remains the …

Erythrocyte shape recognition is very important in the detection of thalassemia and anemia
using microscopic images. This study aims to develop a computer aided shape recognizer …

Texture constitutes one of the fundamental properties of objects besides color and shape. In
several image analysis applications, it is often the only exploitable quality of objects. As …