AIMC Topic: Leukocytes

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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 Humans Nails Leukocyte Count Image Processing, Computer-Assisted Leukocytes
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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...
Leukocytes Artificial Intelligence Algorithms Image Processing, Computer-Assisted
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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...
Leukocytes Algorithms Neural Networks, Computer Models, Theoretical
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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...
Databases, Factual Leukocytes Humans Neural Networks, Computer 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...
Image Processing, Computer-Assisted Leukocytes Algorithms Deep Learning Neural Networks, Computer
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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...
Monocytes Leukocytes Lymphocytes Neural Networks, Computer Technology Humans
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FecalNet: Automated detection of visible components in human feces using deep learning.

Medical physics Jul 18, 2020
PURPOSE: To automate the detection and identification of visible components in feces for early diagnosis of gastrointestinal diseases, we propose FecalNet, a method using multiple deep neural networks.
Deep Learning Feces Leukocytes Microscopy Humans Neural Networks, Computer
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Deep learning-based classification of the mouse estrous cycle stages.

Scientific reports Jul 16, 2020
There is a rapidly growing demand for female animals in preclinical animal, and thus it is necessary to determine animals' estrous cycle stages from vaginal smear cytology. However, the determination of estrous stages requires extensive training, tak...
Epithelial Cells Area Under Curve Leukocytes Estrous Cycle Mice Mice, Inbred C57BL ROC Curve Vaginal Smears Female Adult Humans Neural Networks, Computer Data Accuracy Male Vagina Sensitivity and Specificity Deep Learning Animals
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Learn from one data set to classify all - A multi-target domain adaptation approach for white blood cell classification.

Computer methods and programs in biomedicine Jul 11, 2020
BACKGROUND AND OBJECTIVE: Traditional machine learning methods assume that both training and test data come from the same distribution. In this way, it becomes possible to achieve high successes when modelling on the same domain. Unfortunately, in re...
Machine Learning Leukocytes
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Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network.

Computational intelligence and neuroscience Jul 9, 2020
White blood cells (leukocytes) are a very important component of the blood that forms the immune system, which is responsible for fighting foreign elements. The five types of white blood cells include , , , , and , where each type constitutes a diffe...
Leukocytes Neural Networks, Computer Humans Lymphocytes Image Processing, Computer-Assisted
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