Leukemia diagnosis based on bone marrow cell morphology primarily relies on the manual
microscopy of bone marrow smears. However, this method is greatly affected by subjective …

Leukemia is a type of blood cancer which occurs due to abnormal increase in WBCs (white
blood cells) in bone marrow of human body. Leukemia can be classified as acute leukemia …

There have been few efforts made to automate the cytomorphological categorization of bone
marrow cells. For bone marrow cell categorization, deep-learning algorithms have been …

Cancer of blood, more specifically known as Leukemia, is a deadly disease that is
responsible for the abnormal proliferation of immature white blood cells in bone marrow …

Automated medical image analysis driven by artificial intelligence can revolutionize modern
healthcare in producing swift and precise diagnostics. Due to doctors' varying breadths of …

Acute leukaemia is a type of cancer that affects the blood and the bone marrow. Detection
and classification of white blood cells is a challenge in image processing, as manual data …

Blood cancer is a form of cancer which attacks the blood, bone marrow, or lymphatic system.
It is diagnosed with a blood test in which specific types of blood cells are counted by …

The diagnosis of leukemia involves the detection of the abnormal characteristics of blood
cells by a trained pathologist. Currently, this is done manually by observing the …

Objectives: The objective was the development of a method for the automatic recognition of
different types of atypical lymphoid cells. Methods: In the method development, a training set …

Acute lymphoblastic leukemia is the most common cancer in children, and its diagnosis
mainly includes microscopic blood tests of the bone marrow. Therefore, there is a need for a …