This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …

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 …

Leukemia is a pathology that affects young people and adults, causing premature death and
several other symptoms. Computer-aided systems can be used to reduce the possibility of …

Leukemia is a type of cancer that affects blood cells and causes fatal infection and
premature death. Modern technology enabled by the machine and advanced deep learning …

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 …

Recognition and prediction of lung cancer in the earliest reference point stage can be very
useful to improve the survival rate of patients. But diagnosis of cancer is one the major …

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 …

Purpose Leukaemia is diagnosed conventionally by observing the peripheral blood and
bone marrow smear using a microscope and with the help of advanced laboratory tests …

Leukemia is usually diagnosed by viewing the smears of blood and bone marrow using
microscopes and complex Cytochemical tests can be used to authorize and classify …

Background Computer-aided methods for analyzing white blood cells (WBC) are popular
due to the complexity of the manual alternatives. Recent works have shown highly accurate …