AIMC Topic: Leukocytes

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Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission.

Frontiers in immunology Feb 22, 2021
A complicated clinical course for critically ill patients admitted to the intensive care unit (ICU) usually includes multiorgan dysfunction and subsequent death. Owing to the heterogeneity, complexity, and unpredictability of the disease progression,...
Machine Learning Biomarkers Intensive Care Units Humans Sepsis Time Factors Hospital Mortality Gene Expression Profiling Transcriptome Reproducibility of Results Disease Susceptibility Chromosome Mapping ROC Curve Computational Biology Leukocytes Critical Care Databases, Genetic
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Improving blood cells classification in peripheral blood smears using enhanced incremental training.

Computers in biology and medicine Feb 18, 2021
Peripheral Blood Smear (PBS) analysis is a vital routine test carried out by medical specialists to assess some health aspects of individuals. The automation of blood analysis has attracted the attention of researchers in recent years, as it will not...
Blood Cells Image Processing, Computer-Assisted Leukocytes Neural Networks, Computer Deep Learning Humans
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Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma.

IEEE journal of biomedical and health informatics Feb 5, 2021
The quantity of leukocytes in papillary thyroid carcinoma (PTC) potentially have prognostic and treatment predictive value. Here, we propose a novel method for training a convolutional neural network (CNN) algorithm for segmenting leukocytes in PTCs....
Humans Algorithms Image Processing, Computer-Assisted Leukocytes Deep Learning Thyroid Cancer, Papillary Retrospective Studies Thyroid Neoplasms
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Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis.

Proceedings of the National Academy of Sciences of the United States of America Dec 14, 2020
Contact dermatitis tremendously impacts the quality of life of suffering patients. Currently, diagnostic regimes rely on allergy testing, exposure specification, and follow-up visits; however, distinguishing the clinical phenotype of irritant and all...
Dermatitis, Irritant Allergens Gene Expression Regulation Dermatitis, Allergic Contact Patch Tests Irritants Diagnosis, Differential Skin Leukocytes Reproducibility of Results Gene Regulatory Networks Adult Databases, Genetic Machine Learning Female Algorithms Severity of Illness Index Biomarkers Humans Transcriptome Male
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Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization.

Sensors (Basel, Switzerland) Dec 11, 2020
White blood cells (WBCs) are essential components of the immune system in the human body. Various invasive and noninvasive methods to monitor the condition of the WBCs have been developed. Among them, a noninvasive method exploits an optical characte...
Algorithms Deep Learning Leukocytes Nails Image Processing, Computer-Assisted Humans Leukocyte Count
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An Intelligent Model for the Detection of White Blood Cells using Artificial Intelligence.

Computer methods and programs in biomedicine Dec 5, 2020
BACKGROUND AND OBJECTIVE: The automatic detection and counting of white blood cells (WBCs) play a vital role in the diagnosis of hematological diseases. Computer-aided methods are prevalent in the detection of WBCs because the manual process involves...
Image Processing, Computer-Assisted Artificial Intelligence Leukocytes Algorithms
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Target-Independent Domain Adaptation for WBC Classification Using Generative Latent Search.

IEEE transactions on medical imaging Nov 30, 2020
Automating the classification of camera-obtained microscopic images of White Blood Cells (WBCs) and related cell subtypes has assumed importance since it aids the laborious manual process of review and diagnosis. Several State-Of-The-Art (SOTA) metho...
Algorithms Models, Theoretical Neural Networks, Computer Leukocytes
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A convolutional neural network-based learning approach to acute lymphoblastic leukaemia detection with automated feature extraction.

Medical & biological engineering & computing Nov 6, 2020
Leukaemia is a type of blood cancer which mainly occurs when bone marrow produces excess white blood cells in our body. This disease not only affects adult but also is a common cancer type among children. Treatment of leukaemia depends on its type an...
Neural Networks, Computer Databases, Factual Leukocytes Humans Precursor Cell Lymphoblastic Leukemia-Lymphoma
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Localization and recognition of leukocytes in peripheral blood: A deep learning approach.

Computers in biology and medicine Oct 8, 2020
Automatic recognition and classification of leukocytes helps medical practitioners to diagnose various blood-related diseases by analysing their percentages. Different researchers have come up with different algorithms that use traditional learning f...
Leukocytes Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Algorithms
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A rapid white blood cell classification system based on multimode imaging technology.

Journal of biophotonics Sep 2, 2020
In order to simplify the complexity of white blood cell classification in existing point-of-care testing (POCT) testing equipment, a white blood cell classification detection system based on microfluidic and multimode imaging was constructed. Microfl...
Technology Humans Monocytes Neural Networks, Computer Leukocytes Lymphocytes
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