AIMC Topic: Leukocytes

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FecalNet: Automated detection of visible components in human feces using deep learning.

Medical physics Jul 18, 2020
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 neural networks.
Feces Leukocytes Microscopy Humans Neural Networks, Computer Deep Learning
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Deep learning-based classification of the mouse estrous cycle stages.

Scientific reports Jul 16, 2020
There is a rapidly growing demand for female animals in preclinical animal, and thus it is necessary to determine animals' estrous cycle stages from vaginal smear cytology. However, the determination of estrous stages requires extensive training, tak...
Estrous Cycle Male Data Accuracy Deep Learning ROC Curve Vagina Vaginal Smears Epithelial Cells Mice Humans Area Under Curve Mice, Inbred C57BL Neural Networks, Computer Leukocytes Female Adult Sensitivity and Specificity Animals
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Learn from one data set to classify all - A multi-target domain adaptation approach for white blood cell classification.

Computer methods and programs in biomedicine Jul 11, 2020
BACKGROUND AND OBJECTIVE: Traditional machine learning methods assume that both training and test data come from the same distribution. In this way, it becomes possible to achieve high successes when modelling on the same domain. Unfortunately, in re...
Machine Learning Leukocytes
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Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network.

Computational intelligence and neuroscience Jul 9, 2020
White blood cells (leukocytes) are a very important component of the blood that forms the immune system, which is responsible for fighting foreign elements. The five types of white blood cells include , , , , and , where each type constitutes a diffe...
Humans Lymphocytes Neural Networks, Computer Image Processing, Computer-Assisted Leukocytes
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Mechanism of baricitinib supports artificial intelligence-predicted testing in COVID-19 patients.

EMBO molecular medicine Jun 24, 2020
Baricitinib is an oral Janus kinase (JAK)1/JAK2 inhibitor approved for the treatment of rheumatoid arthritis (RA) that was independently predicted, using artificial intelligence (AI) algorithms, to be useful for COVID-19 infection via proposed anti-c...
Pneumonia, Viral Azetidines Spheroids, Cellular Intracellular Signaling Peptides and Proteins Betacoronavirus Drug Evaluation, Preclinical Coronavirus Infections COVID-19 Drug Treatment Pyrazoles Protein Kinase Inhibitors Purines SARS-CoV-2 Drug Repositioning Liver Aged Leukocytes COVID-19 Protein Serine-Threonine Kinases Sulfonamides Cytokines Adult Male Humans Female Middle Aged Artificial Intelligence Antiviral Agents Pandemics
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Hybrid adversarial-discriminative network for leukocyte classification in leukemia.

Medical physics Jun 24, 2020
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 of this study is to classify white blood cells by extracting d...
Humans Leukemia Neural Networks, Computer Support Vector Machine Leukocytes
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Efficient Classification of White Blood Cell Leukemia with Improved Swarm Optimization of Deep Features.

Scientific reports Feb 13, 2020
White Blood Cell (WBC) Leukaemia is caused by excessive production of leukocytes in the bone marrow, and image-based detection of malignant WBCs is important for its detection. Convolutional Neural Networks (CNNs) present the current state-of-the-art...
Machine Learning Algorithms Image Processing, Computer-Assisted Leukocytes Bone Marrow Leukemia Humans Neural Networks, Computer
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Classification of white blood cells using capsule networks.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 13, 2020
BACKGROUND: While the number and structural features of white blood cells (WBC) can provide important information about the health status of human beings, the ratio of sub-types of these cells and the deformations that can be observed serve as a good...
Leukocytes Deep Learning Humans Image Processing, Computer-Assisted Sensitivity and Specificity
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CDSeq: A novel complete deconvolution method for dissecting heterogeneous samples using gene expression data.

PLoS computational biology Dec 2, 2019
Quantifying cell-type proportions and their corresponding gene expression profiles in tissue samples would enhance understanding of the contributions of individual cell types to the physiological states of the tissue. Current approaches that address ...
Pattern Recognition, Automated Databases, Nucleic Acid Cell Line Humans Unsupervised Machine Learning Computer Simulation Leukocytes Gene Expression Profiling Transcriptome Computational Biology Sequence Analysis, RNA
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Human peripheral blood leukocyte classification method based on convolutional neural network and data augmentation.

Medical physics Nov 22, 2019
PURPOSE: Human peripheral blood leukocytes' classification is important for diagnosing blood diseases. Many microscopic leukocyte image automatic detection methods are proposed. In recent years, convolutional neural networks (CNNs) are applied to mic...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Leukocytes Microscopy
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