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] …

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

Malaria is a serious disease responsible for thousands of deaths each year. Many efforts
have been made to aid in the diagnosis of malaria using machine learning techniques, but …

Aims Morphological differentiation among different blast cell lineages is a difficult task and
there is a lack of automated analysers able to recognise these abnormal cells. This study …

Aims Morphological recognition of red blood cells infected with malaria parasites is an
important task in the laboratory practice. Nowadays, there is a lack of specific automated …

Background Dysplastic neutrophils commonly show at least 2/3 reduction of the content of
cytoplasmic granules by morphologic examination. Recognition of less granulated …

Aims Atypical lymphocytes circulating in blood have been reported in COVID-19 patients.
This study aims to (1) analyse if patients with reactive lymphocytes (COVID-19 RL) show …

Laboratory medicine plays a fundamental role in the detection, diagnosis and management
of COVID-19 infection. Recent observations of the morphology of cells circulating in blood …

Objectives Cellular analysis of body fluids (BF) has clinical relevance in several medical
conditions. The objective of this study is twofold:(1) evaluate the analytical performance of …

Objectives We aimed to find descriptors to identify chronic lymphocytic leukemia (CLL),
Sézary, granular, and villous lymphocytes among normal and abnormal lymphocytes in …