AIMC Topic: Leukocytes

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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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Artificial intelligence-based classification of peripheral blood nucleated cells using label-free imaging flow cytometry.

Lab on a chip Sep 13, 2022
Label-free image identification of circulating rare cells, such as circulating tumor cells within peripheral blood nucleated cells (PBNCs), the vast majority of which are white blood cells (WBCs), remains challenging. We previously described developi...
Humans Artificial Intelligence Neoplastic Cells, Circulating Flow Cytometry Leukocytes Image Cytometry
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Deep Features Aggregation-Based Joint Segmentation of Cytoplasm and Nuclei in White Blood Cells.

IEEE journal of biomedical and health informatics Aug 11, 2022
White blood cells (WBCs), also known as leukocytes, are one of the valuable parts of the blood and immune system. Typically, pathologists use microscope for the manual inspection of blood smears which is a time-consuming, error-prone, and labor-inten...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Leukocytes Cytoplasm
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Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism.

BMC bioinformatics Jul 15, 2022
BACKGROUND: Via counting the different kinds of white blood cells (WBCs), a good quantitative description of a person's health status is obtained, thus forming the critical aspects for the early treatment of several diseases. Thereby, correct classif...
Humans Neural Networks, Computer Algorithms Reproducibility of Results Deep Learning Leukocytes
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Detection of WBC, RBC, and Platelets in Blood Samples Using Deep Learning.

BioMed research international Jul 14, 2022
A blood count is one of the most important diagnostic tools in medicine and one of the most common procedures. It can reveal important changes in the body and is commonly used as the first stage in the process of evaluating patients' health. Even tho...
Humans Deep Learning Leukocytes Laboratories Erythrocytes Blood Platelets
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