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 …

The abnormal growth of leukocytes causes hematologic malignancies such as leukemia.
The clinical assessment methods for the diagnosis of the disease are labor-intensive and …

Acute Leukemia is a life‐threatening disease common both in children and adults that can
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …

Biomedical applications of deep learning algorithms rely on large expert annotated data
sets. The classification of bone marrow (BM) cell cytomorphology, an important cornerstone …

The visual analysis of peripheral blood samples is an important test in the procedures for the
diagnosis of leukemia. Automated systems based on artificial vision methods can speed up …

Abstract Acute Lymphoblastic Leukemia (ALL) is a cancer of the blood cells which is
characterized by a large number of immature lymphocytes, known as blast cells …

Reliable recognition of malignant white blood cells is a key step in the diagnosis of
haematologic malignancies such as acute myeloid leukaemia. Microscopic morphological …

Leukemia is a malignant neoplasm of the blood or bone marrow that affects both children
and adults and remains a leading cause of death around the world. Acute lymphoblastic …

White blood cells (WBCs) are a portion of the immune system which fights against germs.
Leukemia is the most common blood cancer which may lead to death. It occurs due to the …