AIMC Topic: Leukocytes

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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 Leukocytes Neural Networks, Computer Image Processing, Computer-Assisted
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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 Image Processing, Computer-Assisted Neural Networks, Computer Leukocytes Reproducibility of Results Leukocyte Count
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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...
Leukocytes Neural Networks, Computer Machine Learning Artificial Intelligence Algorithms
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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 Leukocytes Neural Networks, Computer Image Processing, Computer-Assisted
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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...
Male Middle Aged Young Adult Adult Child Image Processing, Computer-Assisted Deep Learning Adolescent Humans Prognosis Female Aged Cytoplasm Elementary Particles Cell Nucleus Hematologic Diseases Leukocytes Datasets as Topic
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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...
Leukocytes Blood Cells Leukemia, Myeloid, Acute Deep Learning Humans
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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...
Neural Networks, Computer Artificial Intelligence Algorithms Communicable Diseases Image Interpretation, Computer-Assisted Humans Leukocytes Deep Learning Microscopy Computational Biology
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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 Lymphocytes Leukocytes
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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...
Microscopy Image Processing, Computer-Assisted Humans Leukocytes Neural Networks, Computer
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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...
Leukemia Leukocytes Bone Marrow Humans Deep Learning Image Processing, Computer-Assisted
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