Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the
development of computational programs that can mimic human intelligence. In particular …

Introduction Morphological assessment of the blood smear has been performed by
conventional manual microscopy for many decades. Recently, rapid progress in digital …

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 …

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 …

This paper aims to assist the administration departments of medical organisations in making
the right decision on selecting a suitable multiclass classification model for acute leukaemia …

Digital pathology has a crucial role in diagnostic pathology and is increasingly a
technological requirement in the field. Integration of digital slides into the pathology …

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 …

CD19-directed chimeric antigen receptor (CAR) T cells show characteristic proliferation
kinetics after infusion that correlate with response. Clearance of circulating disease, B-cell …

Historically, WBC counts were performed manually. Skilled technologists are necessary to
perform this labor-intensive evaluation. Although manual cell counts are still performed in …

Context Acute leukaemia diagnosis is a field requiring automated solutions, tools and
methods and the ability to facilitate early detection and even prediction. Many studies have …