AIMC Topic: Leukocytes

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Computational Intelligence Method for Detection of White Blood Cells Using Hybrid of Convolutional Deep Learning and SIFT.

Computational and mathematical methods in medicine Jan 12, 2022
Infection diseases are among the top global issues with negative impacts on health, economy, and society as a whole. One of the most effective ways to detect these diseases is done by analysing the microscopic images of blood cells. Artificial intell...
Artificial Intelligence Algorithms Communicable Diseases Deep Learning Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Computational Biology Leukocytes Microscopy
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Deep Learning Model for the Automatic Classification of White Blood Cells.

Computational intelligence and neuroscience Jan 12, 2022
Blood cell count is highly useful in identifying the occurrence of a particular disease or ailment. To successfully measure the blood cell count, sophisticated equipment that makes use of invasive methods to acquire the blood cell slides or images is...
Deep Learning Leukocytes Lymphocytes
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WBC-based segmentation and classification on microscopic images: a minor improvement.

F1000Research Nov 17, 2021
Introduction White blood cells (WBCs) are immunity cells which fight against viruses and bacteria in the human body. Microscope images of captured WBCs for processing and analysis are important to interpret the body condition. At present, there is no...
Leukocytes Humans Microscopy Neural Networks, Computer Image Processing, Computer-Assisted
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A deep learning method for counting white blood cells in bone marrow images.

BMC bioinformatics Nov 8, 2021
BACKGROUND: Differentiating and counting various types of white blood cells (WBC) in bone marrow smears allows the detection of infection, anemia, and leukemia or analysis of a process of treatment. However, manually locating, identifying, and counti...
Bone Marrow Leukemia Image Processing, Computer-Assisted Leukocytes Humans Deep Learning
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The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy.

BMC cancer Nov 5, 2021
BACKGROUND: Viral infections are prevalent in human cancers and they have great diagnostic and theranostic values in clinical practice. Recently, their potential of shaping the tumor immune microenvironment (TIME) has been related to the immunotherap...
Machine Learning Stomach Neoplasms Tumor Microenvironment Humans RNA-Seq Immunotherapy Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Biomarkers, Tumor Neoplasms Transcriptome Oncogenic Viruses Leukocytes Genetic Variation High-Throughput Nucleotide Sequencing Kaplan-Meier Estimate Papillomaviridae Genome, Viral Tumor Virus Infections Epstein-Barr Virus Infections Herpesvirus 4, Human Mutation Head and Neck Neoplasms Support Vector Machine DNA, Viral
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New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images.

Scientific reports Sep 30, 2021
This article addresses a new method for the classification of white blood cells (WBCs) using image processing techniques and machine learning methods. The proposed method consists of three steps: detecting the nucleus and cytoplasm, extracting featur...
Image Processing, Computer-Assisted Leukocytes Leukocyte Count Humans Machine Learning
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Swarm Learning for decentralized and confidential clinical machine learning.

Nature May 26, 2021
Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine. Patients with leukaemia can be identified using machine learning on the basis of their blood transcriptomes. However, there is an i...
Blockchain Tuberculosis Datasets as Topic Leukemia Clinical Decision-Making Software Female COVID-19 Confidentiality Male Precision Medicine Disease Outbreaks Humans Lung Diseases Machine Learning Leukocytes
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Tens of images can suffice to train neural networks for malignant leukocyte detection.

Scientific reports Apr 12, 2021
Convolutional neural networks (CNNs) excel as powerful tools for biomedical image classification. It is commonly assumed that training CNNs requires large amounts of annotated data. This is a bottleneck in many medical applications where annotation r...
Humans Leukocytes Lymphocytes Neural Networks, Computer Image Processing, Computer-Assisted Databases as Topic
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Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease.

PloS one Mar 31, 2021
We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection and elucidates its molecular pathogeneses. Genome-wide DNA methylation analysis was performed using the Infinium MethylationEPIC BeadChip array in 24 l...
Epigenesis, Genetic Epigenomics Signal Transduction Biomarkers CpG Islands Case-Control Studies Sensitivity and Specificity Humans Aged Prognosis DNA Methylation Deep Learning Male Late Onset Disorders Leukocytes Genome-Wide Association Study Female Aged, 80 and over Alzheimer Disease
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Deep learning-based enhancement of epigenomics data with AtacWorks.

Nature communications Mar 8, 2021
ATAC-seq is a widely-applied assay used to measure genome-wide chromatin accessibility; however, its ability to detect active regulatory regions can depend on the depth of sequencing coverage and the signal-to-noise ratio. Here we introduce AtacWorks...
Chromatin Chromatin Immunoprecipitation Sequencing Epigenomics Leukocytes Humans Animals Regulatory Sequences, Nucleic Acid Brain Deep Learning Mice
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