Abstract Machine learning (ML) offers opportunities to advance pathological diagnosis,
especially with increasing trends in digitalizing microscopic images. Diagnosing leukemia is …

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 …

Bone marrow (BM) examination is an essential step in both diagnosing and managing
numerous hematologic disorders. BM nucleated differential count (NDC) analysis, as part of …

Bone marrow aspirate (BMA) differential cell counts (DCCs) are critical for the classification
of hematologic disorders. While manual counts are considered the gold standard, they are …

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 …

The assessment of a patient's blood sample is a critical obligation in the healthcare industry.
Different health problems are caused by aberrant blood cell growth. One of the vital …

Automatic recognition and classification of leukocytes helps medical practitioners to
diagnose various blood-related diseases by analysing their percentages. Different …

The white blood cell differential count of the bone marrow provides information concerning
the distribution of immature and mature cells within maturation stages. The results of such …

Background Classification of acute myeloid leukemia (AML) relies on manual analysis of
bone marrow or peripheral blood smear images. We aimed to construct a machine learning …

Digital Pathology is the process of converting histology glass slides to digital images using
sophisticated computerized technology to facilitate acquisition, evaluation, storage, and …