AIMC Topic: Leukocytes

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Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Nov 5, 2019
Imaging flow cytometry (IFC) produces up to 12 spectrally distinct, information-rich images of single cells at a throughput of 5,000 cells per second. Yet often, cell populations are still studied using manual gating, a technique that has several dra...
Flow Cytometry Leukocytes Coloring Agents Humans Machine Learning Diagnostic Imaging
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White blood cells detection and classification based on regional convolutional neural networks.

Medical hypotheses Nov 4, 2019
White blood cells (WBC) are important parts of our immune system and they protect our body against infections by eliminating viruses, bacteria, parasites and fungi. There are five types of WBC. These are called Lymphocytes, Monocytes, Eosinophils, Ba...
Algorithms Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Eosinophils Monocytes Deep Learning Humans Lymphocytes Neutrophils Image Processing, Computer-Assisted Neural Networks, Computer Pattern Recognition, Automated Leukocytes Software
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Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis.

Journal of clinical pathology Jun 29, 2019
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 to develop a machine learning approach to predict the diagn...
Machine Learning Reproducibility of Results Staining and Labeling Humans Leukocytes Image Interpretation, Computer-Assisted Pattern Recognition, Automated Diagnosis, Differential Predictive Value of Tests Acute Disease Blood Specimen Collection Cell Lineage Leukemia
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Deep learning approach to peripheral leukocyte recognition.

PloS one Jun 25, 2019
Microscopic examination of peripheral blood plays an important role in the field of diagnosis and control of major diseases. Peripheral leukocyte recognition by manual requires medical technicians to observe blood smears through light microscopy, usi...
Bioengineering Leukocytes Microscopy Algorithms Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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Label-Free Identification of White Blood Cells Using Machine Learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology May 13, 2019
White blood cell (WBC) differential counting is an established clinical routine to assess patient immune system status. Fluorescent markers and a flow cytometer are required for the current state-of-the-art method for determining WBC differential cou...
Quality Control Leukocyte Count Humans Machine Learning Algorithms Flow Cytometry Leukocytes
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Machine learning algorithms for the detection of spurious white blood cell differentials due to erythrocyte lysis resistance.

Journal of clinical pathology Apr 16, 2019
AIMS: Red blood cell (RBC) lysis resistance interferes with white blood cell (WBC) count and differential; still, its detection relies on the identification of an abnormal scattergram, and this is not clearly adverted by specific flags in the Beckman...
Humans Machine Learning Automation, Laboratory Erythrocytes Leukocytes Liver Diseases Reproducibility of Results Leukocyte Count Light Hemolysis Case-Control Studies Scattering, Radiation Anemia Predictive Value of Tests
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LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks.

Journal of biophotonics Apr 10, 2019
Digital pathology and microscope image analysis is widely used in comprehensive studies of cell morphology. Identification and analysis of leukocytes in blood smear images, acquired from bright field microscope, are vital for diagnosing many diseases...
Cell Adhesion Leukocytes Molecular Imaging Automation Deep Learning Image Processing, Computer-Assisted Humans
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Feature extraction using traditional image processing and convolutional neural network methods to classify white blood cells: a study.

Australasian physical & engineering sciences in medicine Mar 4, 2019
White blood cells play a vital role in monitoring health condition of a person. Change in count and/or appearance of these cells indicate hematological disorders. Manual microscopic evaluation of white blood cells is the gold standard method, but the...
Algorithms Image Processing, Computer-Assisted Leukocytes Humans Neural Networks, Computer
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More Than Just a Removal Service: Scavenger Receptors in Leukocyte Trafficking.

Frontiers in immunology Dec 12, 2018
Scavenger receptors are a highly diverse superfamily of proteins which are grouped by their inherent ability to bind and internalize a wide array of structurally diverse ligands which can be either endogenous or exogenous in nature. Consequently, sca...
Atherosclerosis Humans Protein Transport Apoptosis Ligands Cell Movement Lipoproteins, LDL Receptors, Scavenger Homeostasis Leukocytes
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Fine-grained leukocyte classification with deep residual learning for microscopic images.

Computer methods and programs in biomedicine May 22, 2018
BACKGROUND AND OBJECTIVE: Leukocyte classification and cytometry have wide applications in medical domain, previous researches usually exploit machine learning techniques to classify leukocytes automatically. However, constrained by the past developm...
Models, Statistical Leukocytes Microscopy Neural Networks, Computer Machine Learning Support Vector Machine Humans Pattern Recognition, Automated
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