Anemia is a blood disorder which is caused due to inadequate red blood cells and
hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in …

Malaria, being an epidemic disease, demands its rapid and accurate diagnosis for proper
intervention. Microscopic image‐based characterization of erythrocytes plays an integral …

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

Acute lymphoblastic leukemia (ALL) is a life‐threatening disease that commonly affects
children and is classified into three subtypes: L1, L2, and L3. Traditionally, ALL is diagnosed …

A growing number of routine and research activities, in a wide variety of fields, have the
counting of certain types of objects (cells, people, insects, etc.) as one of their main …

We propose an automatic hybrid image segmentation model that integrates the statistical
expectation maximization (EM) model and the spatial pulse coupled neural network (PCNN) …

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

Cell segmentation and counting has a very important role in diagnosing diseases and in the
treatment process. But the complexity of the histopathological images and the differences in …

The Image segmentation plays an important role in computer vision and image processing
areas. In this paper, the use of color segmentation for segmenting acute leukemia images is …

Biomedical image processing has experienced intense growth with interdisciplinary
research field attracting expertise from computer science. Medical image processing assists …