Introduction. The early detection and diagnosis of leukemia, ie, the precise differentiation of
malignant leukocytes with minimum costs in the early stages of the disease, is a major …

Digitalization of the medical record and integration of genomic methods into clinical practice
have resulted in an unprecedented wealth of data. Machine learning is a subdomain of …

This article makes available a dataset that was used for the development of an automatic
recognition system of peripheral blood cell images using convolutional neural networks [1] …

The Editor-in-Chief has retracted this article because it overlaps significantly with a prior
publication with no common authors [1]. Specifically, images in Figs. 3 and 4 appear highly …

Acute lymphocytic leukemia (ALL) is a deadly cancer that not only affects adults but also
accounts for about 25% of childhood cancers. Timely and accurate diagnosis of the cancer …

Leukemia is a fatal cancer and has two main types: Acute and chronic. Each type has two
more subtypes: Lymphoid and myeloid. Hence, in total, there are four subtypes of leukemia …

Background and objectives Morphological differentiation among blasts circulating in blood
in acute leukaemia is challenging. Artificial intelligence decision support systems hold …

Artificial intelligence (AI) is about to make itself indispensable in the health care sector.
Examples of successful applications or promising approaches range from the application of …

Background and objectives: Visual analysis of cell morphology has an important role in the
diagnosis of hematological diseases. Morphological cell recognition is a challenge that …

While optical microscopy inspection of blood films and bone marrow aspirates by a
hematologist is a crucial step in establishing diagnosis of acute leukemia, especially in low …