Automated classification and morphological analysis of white blood cells has been
addressed since last four decades, but there is no optimal method which can be used as …

Purpose Leukemia is a lethal disease that is harmful to bone marrow and overall blood
health. The classification of white blood cell images is crucial for leukemia diagnosis. The …

Purpose Human peripheral blood leukocytes' classification is important for diagnosing blood
diseases. Many microscopic leukocyte image automatic detection methods are proposed. In …

Vaginal microbiota-host interactions are linked to preterm birth (PTB), which continues to be
the primary cause of global childhood mortality. Due to population size, the majority of PTB …

Purpose To automate the detection and identification of visible components in feces for early
diagnosis of gastrointestinal diseases, we propose FecalNet, a method using multiple deep …

Fecal samples can easily be collected and are representative of a person's current health
state; therefore, the demand for routine fecal examination has increased sharply. However …

The analysis of fecal-type components for clinical diagnosis is important. The main
examination involves the counting of red blood cells (RBCs), white blood cells (WBCs), and …

Abstract Blutaparon portulacoides (A. St.-Hil.), also known as capotirguá, pirrixu, and bredo-
de-praia, is a bactericidal and anti-inflammatory agent used in folk medicine to treat …

Accompanied with the clinical routine examination demand increase sharply, the efficiency
and accuracy are the first priority. However, automatic classification and localization of cells …

A computer-assisted human peripheral blood leukocyte image classification method based
on Siamese network is proposed. Firstly, a Siamese network with two identical convolutional …