AIMC Topic: Blood Cells

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ReRNet: A Deep Learning Network for Classifying Blood Cells.

Technology in cancer research & treatment
AIMS: Blood cell classification helps detect various diseases. However, the current classification model of blood cells cannot always get great results. A network that automatically classifies blood cells can provide doctors with data as one of the c...

Expert knowledge for the recognition of leukemic cells.

Applied optics
This work shows the advantage of expert knowledge for leukemic cell recognition. In the medical area, visual analysis of microscopic images has regularly used biological samples to recognize hematological disorders. Nowadays, techniques of image reco...

Image processing and machine learning in the morphological analysis of blood cells.

International journal of laboratory hematology
INTRODUCTION: This review focuses on how image processing and machine learning can be useful for the morphological characterization and automatic recognition of cell images captured from peripheral blood smears.

Comparison of the solid phase and liquid-liquid extraction methods for methadone determination in human serum and whole blood samples using gas chromatography/mass spectrometry.

Arhiv za higijenu rada i toksikologiju
The aim of this study was to determine the optimal biological sample and the optimal extraction technique for monitoring methadone concentrations in biological samples. We analysed methadone in serum and whole blood samples using gas chromatography/m...

Gating mass cytometry data by deep learning.

Bioinformatics (Oxford, England)
MOTIVATION: Mass cytometry or CyTOF is an emerging technology for high-dimensional multiparameter single cell analysis that overcomes many limitations of fluorescence-based flow cytometry. New methods for analyzing CyTOF data attempt to improve autom...

In Vitro Evaluation of the Fresenius Kabi CATSmart Autotransfusion System.

The journal of extra-corporeal technology
Use of autotransfusion systems to collect, wash, and concentrate shed blood during surgical procedures is a widely used method for reducing postoperative anemia and the need for blood transfusions. The aim of this study was to evaluate the CATSmart C...