Abstract Background Manual microscopic examination of Leishman/Giemsa stained thin and thick blood smear is still the “gold standard” for malaria diagnosis. One drawbacks this method that its accuracy, consistency, diagnosis speed depend on microscopists’ diagnostic technical skills. It difficult to get highly skilled microscopists in remote areas developing countries. To alleviate problem, pap...

Anaemia is a frequent blood disorder marked by reduction in the quantity of haemoglobin or number red cells blood. Quick and accurate anaemia detection crucial for fast action effective treatment. In this research, we provide new structure called Whale Optimization-Driven Generative Convolutional Neural Network (WO-GCNN) using smear pictures. To increase accuracy, WO-GCNN system combines streng...

Malaria fever is a potentially fatal disease caused by the Plasmodium parasite. Identifying parasites in blood smear images can help diagnose malaria rapidly and precisely. According to World Health Organization (WHO), there were 241 million cases 627 000 deaths worldwide 2020, while 95% of 96% occurred Africa. Also Africa, children that are less than five years old accounted for an estimated 8...

Introduction. The early detection and diagnosis of leukemia, i.e., the precise differentiation malignant leukocytes with minimum costs in stages disease, is a major problem domain disease diagnosis. Despite high prevalence there shortage flow cytometry equipment, methods available at laboratory diagnostic centers are time-consuming. Motivated by capabilities machine learning (machine (ML)) diag...