AIMC Topic: Leukocytes

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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 Flow Cytometry Leukocytes Image Cytometry Artificial Intelligence Neoplastic Cells, Circulating
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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...
Cytoplasm Image Processing, Computer-Assisted Leukocytes Humans Neural Networks, Computer
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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...
Deep Learning Leukocytes Algorithms Reproducibility of Results Humans Neural Networks, Computer
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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...
Leukocytes Erythrocytes Humans Laboratories Blood Platelets Deep Learning
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Leukocyte Segmentation Method Based on Adaptive Retinex Correction and U-Net.

Computational and mathematical methods in medicine Jul 4, 2022
To address the issues of uneven illumination and inconspicuous leukocyte properties in the gathered cell pictures, a leukocyte segmentation method based on adaptive retinex correction and U-net was proposed. The procedure begins by processing a perip...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Leukocytes
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WBC image classification and generative models based on convolutional neural network.

BMC medical imaging May 20, 2022
BACKGROUND: Computer-aided methods for analyzing white blood cells (WBC) are popular due to the complexity of the manual alternatives. Recent works have shown highly accurate segmentation and detection of white blood cells from microscopic blood imag...
Humans Neural Networks, Computer Leukocytes Leukocyte Count Reproducibility of Results Image Processing, Computer-Assisted
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Machine Learning Based Lens-Free Shadow Imaging Technique for Field-Portable Cytometry.

Biosensors Feb 27, 2022
The lens-free shadow imaging technique (LSIT) is a well-established technique for the characterization of microparticles and biological cells. Due to its simplicity and cost-effectiveness, various low-cost solutions have been developed, such as autom...
Algorithms Leukocytes Neural Networks, Computer Artificial Intelligence Machine Learning
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WBC-AMNet: Automatic classification of WBC images using deep feature fusion network based on focalized attention mechanism.

PloS one Jan 27, 2022
The recognition and classification of White Blood Cell (WBC) play a remarkable role in blood-related diseases (i.e., leukemia, infections) diagnosis. For the highly similar morphology of different WBC subtypes, it is too confused to classify the WBC ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Leukocytes
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A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm.

Scientific reports Jan 21, 2022
Accurate and early detection of anomalies in peripheral white blood cells plays a crucial role in the evaluation of well-being in individuals and the diagnosis and prognosis of hematologic diseases. For example, some blood disorders and immune system...
Elementary Particles Hematologic Diseases Cytoplasm Datasets as Topic Cell Nucleus Adolescent Middle Aged Image Processing, Computer-Assisted Deep Learning Child Leukocytes Adult Prognosis Aged Humans Male Female Young Adult
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LeuFeatx: Deep learning-based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear.

Computers in biology and medicine Jan 19, 2022
The abnormal growth of leukocytes causes hematologic malignancies such as leukemia. The clinical assessment methods for the diagnosis of the disease are labor-intensive and time-consuming. Image-based automated diagnostic systems can be of great help...
Blood Cells Deep Learning Leukocytes Humans Leukemia, Myeloid, Acute
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