AIMC Topic: Leukocytes

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A deep learning model for detection of leukocytes under various interference factors.

Scientific reports Feb 7, 2023
The accurate detection of leukocytes is the basis for the diagnosis of blood system diseases. However, diagnosing leukocyte disorders by doctors is time-consuming and requires extensive experience. Automated detection methods with high accuracy can i...
Neural Networks, Computer Deep Learning Leukocytes
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Leukocyte deep learning classification assessment using Shapley additive explanations algorithm.

International journal of laboratory hematology Feb 3, 2023
INTRODUCTION: A peripheral blood smear is a basic test for hematological disease diagnosis. This test is performed manually in many places worldwide, which requires both time and qualified staff. Large laboratories are equipped with digital morpholog...
Humans Algorithms Deep Learning Leukocytes Laboratories Cell Nucleus
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Accurate stratification between VEXAS syndrome and differential diagnoses by deep learning analysis of peripheral blood smears.

Clinical chemistry and laboratory medicine Feb 2, 2023
OBJECTIVES: VEXAS syndrome is a newly described autoinflammatory disease associated with somatic mutations and vacuolization of myeloid precursors. This disease possesses an increasingly broad spectrum, leading to an increase in the number of suspec...
Humans Deep Learning Diagnosis, Differential Mutation Leukocytes Myelodysplastic Syndromes Skin Diseases, Genetic
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Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan).

Computer methods and programs in biomedicine Dec 15, 2022
BACKGROUND AND OBJECTIVES: Visual analysis of cell morphology has an important role in the diagnosis of hematological diseases. Morphological cell recognition is a challenge that requires experience and in-depth review by clinical pathologists. Withi...
Neural Networks, Computer Image Processing, Computer-Assisted Monocytes Leukocytes Eosinophils Lymphocytes
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Deep self-supervised transformation learning for leukocyte classification.

Journal of biophotonics Dec 2, 2022
The scarcity of training annotation is one of the major challenges for the application of deep learning technology in medical image analysis. Recently, self-supervised learning provides a powerful solution to alleviate this challenge by extracting us...
Neural Networks, Computer Leukocytes
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White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS).

Scientific reports Nov 21, 2022
Treatment of blood smears with Wright's stain is one of the most helpful tools in detecting white blood cell abnormalities. However, to diagnose leukocyte disorders, a clinical pathologist must perform a tedious, manual process of locating and identi...
Neural Networks, Computer Monocytes Leukocytes Lymphocytes Microscopy
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A Method for Expanding the Training Set of White Blood Cell Images.

Journal of healthcare engineering Nov 9, 2022
In medicine, the count of different types of white blood cells can be used as the basis for diagnosing certain diseases or evaluating the treatment effects of diseases. The recognition and counting of white blood cells have important clinical signifi...
Humans Machine Learning Leukocytes
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Toward five-part differential of leukocytes based on electrical impedances of single cells and neural network.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Oct 21, 2022
The five-part differential of leukocytes plays key roles in the diagnosis of a variety of diseases and is realized by optical examinations of single cells, which is prone to various artifacts due to chemical treatments. The classification of leukocyt...
Neural Networks, Computer Flow Cytometry Leukocytes Electric Impedance
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White blood cell detection using saliency detection and CenterNet: A two-stage approach.

Journal of biophotonics Sep 29, 2022
White blood cell (WBC) detection plays a vital role in peripheral blood smear analysis. However, cell detection remains a challenging task due to multi-cell adhesion, different staining and imaging conditions. Owing to the powerful feature extraction...
Neural Networks, Computer Leukocytes Cell Adhesion
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Automatic whole blood cell analysis from blood smear using label-free multi-modal imaging with deep neural networks.

Analytica chimica acta Sep 15, 2022
Whole blood cell analysis is widely used in medical applications since its results are indicators for diagnosing a series of diseases. In this work, we report automatic whole blood cell analysis from blood smear using label-free multi-modal imaging w...
Neural Networks, Computer Multimodal Imaging Leukocytes Microscopy
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