AIMC Topic: Reticulocytes

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Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers.

IEEE/ACM transactions on computational biology and bioinformatics Aug 6, 2021
Despite fluorescent cell-labelling being widely employed in biomedical studies, some of its drawbacks are inevitable, with unsuitable fluorescent probes or probes inducing a functional change being the main limitations. Consequently, the demand for a...
Humans Biomarkers Computational Biology Unsupervised Machine Learning Rheology Erythrocytes Image Cytometry Reticulocytes
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Experimental evaluation of deep learning method in reticulocyte enumeration in peripheral blood.

International journal of laboratory hematology May 20, 2021
INTRODUCTION: Reticulocytes (RET) are immature red blood cells, and RET enumeration in peripheral blood has important clinical value in diagnosis, treatment efficacy observation, and prognosis of anemic diseases. For RET enumeration, flow cytometric ...
Humans Female Male Deep Learning Flow Cytometry Reticulocytes Reticulocyte Count
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Rapid diagnosis of hereditary haemolytic anaemias using automated rheoscopy and supervised machine learning.

British journal of haematology Jul 5, 2020
Humans Single-Cell Analysis Image Processing, Computer-Assisted Supervised Machine Learning Datasets as Topic Automation Pyruvate Kinase Erythrocytes, Abnormal Blood Viscosity Erythrocyte Deformability Anemia, Hemolytic, Congenital Anemia, Hemolytic, Congenital Nonspherocytic Hydrops Fetalis Pyruvate Metabolism, Inborn Errors Reticulocytes
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