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

The definitive diagnosis of acute lymphoblastic leukemia (ALL), as a highly prevalent
cancer, requires invasive, expensive, and time‐consuming diagnostic tests. ALL diagnosis …

Leukaemia is a form of blood cancer which affects the white blood cells and damages the
bone marrow. Usually complete blood count (CBC) and bone marrow aspiration are used to …

The detection and classification of white blood cells (WBCs, also known as Leukocytes) is a
hot issue because of its important applications in disease diagnosis. Nowadays the …

Acute myelogenous leukemia (AML) is a subtype of acute leukemia, which is prevalent
among adults. The average age of a person with AML is 65 years. The need for automation …

This research proposes an intelligent decision support system for acute lymphoblastic
leukaemia diagnosis from microscopic blood images. A novel clustering algorithm with …

In present scenario, hematological disorders of leukocyte (WBC) are very frequent in
medical practices. This work proposes a novel technique to differentiate ALL (acute …

This paper proposes an automatic and robust decision support system for accurate acute
leukemia diagnosis from blood microscopic images. It is a challenging issue to segment …

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 …

Abstract Computer Aided Diagnosis (CAD) systems can support physicians in classifying
different kinds of breast cancer, liver cancer and blood tumours also revealed by images …