AIMC Topic: Microscopy

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Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network.

Computers in biology and medicine Feb 13, 2024
Leukocytes, also called White Blood Cells (WBCs) or leucocytes, are the cells that play a pivotal role in human health and are vital indicators of diseases such as malaria, leukemia, AIDS, and other viral infections. WBCs detection and classification...
Leukocytes Deep Learning Image Processing, Computer-Assisted Microscopy Humans Neural Networks, Computer
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ChatGPT's innovative application in blood morphology recognition.

Journal of the Chinese Medical Association : JCMA Feb 13, 2024
BACKGROUND: Recently, the rapid advancement in generative artificial intelligence (AI) technology, such as ChatGPT-4, has sparked discussions, particularly in image recognition. Accurate results are critical for hematological diagnosis, particularly ...
Microscopy Artificial Intelligence Humans Retrospective Studies
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Assessing Fuchs Corneal Endothelial Dystrophy Using Artificial Intelligence-Derived Morphometric Parameters From Specular Microscopy Images.

Cornea Feb 9, 2024
PURPOSE: The aim of this study was to evaluate the efficacy of artificial intelligence-derived morphometric parameters in characterizing Fuchs corneal endothelial dystrophy (FECD) from specular microscopy images.
Female Aged Aged, 80 and over Cross-Sectional Studies Neural Networks, Computer Artificial Intelligence Endothelium, Corneal Cell Count Humans Male Fuchs' Endothelial Dystrophy Microscopy Middle Aged
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A high-speed microscopy system based on deep learning to detect yeast-like fungi cells in blood.

Bioanalysis Feb 9, 2024
Blood-invasive fungal infections can cause the death of patients, while diagnosis of fungal infections is challenging. A high-speed microscopy detection system was constructed that included a microfluidic system, a microscope connected to a high-sp...
Saccharomyces cerevisiae Deep Learning Microscopy Humans Sensitivity and Specificity
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Deep Learning-Based Culture-Free Bacteria Detection in Urine Using Large-Volume Microscopy.

Biosensors Feb 5, 2024
Bacterial infections, increasingly resistant to common antibiotics, pose a global health challenge. Traditional diagnostics often depend on slow cell culturing, leading to empirical treatments that accelerate antibiotic resistance. We present a novel...
Bacterial Infections Urinary Tract Infections Deep Learning Bacteria Humans Microscopy Anti-Bacterial Agents
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CellT-Net: A Composite Transformer Method for 2-D Cell Instance Segmentation.

IEEE journal of biomedical and health informatics Feb 5, 2024
Cell instance segmentation (CIS) via light microscopy and artificial intelligence (AI) is essential to cell and gene therapy-based health care management, which offers the hope of revolutionary health care. An effective CIS method can help clinicians...
Artificial Intelligence Image Processing, Computer-Assisted Humans Electric Power Supplies Somatostatin-Secreting Cells Microscopy Entropy
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Current Landscape of Advanced Imaging Tools for Pathology Diagnostics.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Feb 3, 2024
Histopathology relies on century-old workflows of formalin fixation, paraffin embedding, sectioning, and staining tissue specimens on glass slides. Despite being robust, this conventional process is slow, labor-intensive, and limited to providing two...
Artificial Intelligence Staining and Labeling Formaldehyde Microscopy Humans
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Protocol to train a support vector machine for the automatic curation of bacterial cell detections in microscopy images.

STAR protocols Feb 2, 2024
Manual curation of bacterial cell detections in microscopy images remains a time-consuming and laborious task. This work offers a comprehensive, step-by-step tutorial on training a support vector machine to autonomously distinguish between good and b...
Microscopy Machine Learning Support Vector Machine
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Phase Aberration Correction for In Vivo Ultrasound Localization Microscopy Using a Spatiotemporal Complex-Valued Neural Network.

IEEE transactions on medical imaging Feb 2, 2024
Ultrasound Localization Microscopy (ULM) can map microvessels at a resolution of a few micrometers ( [Formula: see text]). Transcranial ULM remains challenging in presence of aberrations caused by the skull, which lead to localization errors. Herein,...
Skull Ultrasonography Brain Microscopy Mice Neural Networks, Computer Animals Microbubbles
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A clinical microscopy dataset to develop a deep learning diagnostic test for urinary tract infection.

Scientific data Feb 1, 2024
Urinary tract infection (UTI) is a common disorder. Its diagnosis can be made by microscopic examination of voided urine for markers of infection. This manual technique is technically difficult, time-consuming and prone to inter-observer errors. The ...
Humans Urinary Tract Infections Microscopy Machine Learning Deep Learning Diagnostic Tests, Routine
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