Introduction This review focuses on how image processing and machine learning can be
useful for the morphological characterization and automatic recognition of cell images …

Leukemia is an abnormal proliferation of leukocytes in the bone marrow and blood and it is
usually diagnosed by the pathologists by observing the blood smear under a microscope …

White blood cells (WBC) are important parts of our immune system and they protect our body
against infections by eliminating viruses, bacteria, parasites and fungi. There are five types …

A fast and accurate white blood cell (WBC) segmentation remains a challenging task, as
different WBCs vary significantly in color and shape due to cell type differences, staining …

White blood cells (WBCs) play a remarkable role in the human immune system. To diagnose
blood-related diseases, pathologists need to consider the characteristics of WBC. The …

In this paper, we have proposed an acute lymphoblastic leukemia detection strategy from
the microscopic images. The scheme utilizes all the steps associated with any other …

We propose a dual‐threshold method based on a strategic combination of RGB and HSV
color space for white blood cell (WBC) segmentation. The proposed method consists of …

Leukemia is the rapid production of abnormal white blood cells that consequently affects the
blood and damages the bone marrow. The overproduction of abnormal and immature white …

In diagnostic research, analysis of blood micrographs has emerged as one of the relevant
techniques for identifying various blood-related diseases. Analysis of white blood cells using …

An accurate early-stage leukemia diagnosis plays a critical role in treating and saving
patients' lives. The two primary forms of leukemia are acute and chronic leukemia, which is …