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Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106061
Abstract: BACKGROUND AND OBJECTIVE Computer-aided cervical cancer screening based on an automated recognition of cervical cells has the potential to significantly reduce error rate and increase productivity compared to manual screening. Traditional methods often rely on…
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Keywords:
global context;
cell detection;
soft scale;
context aware ... See more keywords
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Published in 2022 at "Neuroscience research"
DOI: 10.1016/j.neures.2022.02.008
Abstract: The rapid progress of calcium imaging techniques has reached a point where the activity of thousands to tens of thousands of cells can be recorded simultaneously with single-cell resolution in a field-of-view (FOV) of about…
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Keywords:
low computational;
cell;
cell detection;
computational cost ... See more keywords
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Published in 2017 at "Biochemistry"
DOI: 10.1021/acs.biochem.7b00814
Abstract: Naturally produced molecules possessing a C-P bond, such as phosphonates and phosphinates, remain vastly underexplored. Although success stories like fosfomycin have reinvigorated small molecule phosphonate discovery efforts, bioinformatic analyses predict an enormous unexplored biological reservoir…
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Keywords:
cell detection;
detection bonds;
whole cell;
chemistry ... See more keywords
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Published in 2022 at "ACS Sensors"
DOI: 10.1021/acssensors.2c01292
Abstract: Numerous species of bacteria pose a serious threat to human health and cause several million deaths annually. It is therefore essential to have quick, efficient, and easily operable methods of bacterial cell detection. Herein, we…
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Keywords:
cell;
cationic covalent;
bacterial cell;
detection ... See more keywords
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Published in 2023 at "American journal of clinical pathology"
DOI: 10.1093/ajcp/aqac178
Abstract: OBJECTIVES Cytomorphology is known to differ depending on the processing technique, and these differences pose a problem for automated diagnosis using deep learning. We examined the as-yet unclarified relationship between cell detection or classification using…
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Keywords:
detection classification;
cell;
processing technique;
detection ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930539
Abstract: In recent years, cell tracking methods by detection have become more and more popular because they outperformed cell tracking methods by contour evolution in most practical cell tracking applications. Yet, the most frequently used segmentation…
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Keywords:
detection;
new approach;
cell detection;
cell ... See more keywords
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Published in 2019 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2907093
Abstract: Automated cell detection and localization from microscopy images are significant tasks in biomedical research and clinical practice. In this paper, we design a new cell detection and localization algorithm that combines deep convolutional neural network…
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Keywords:
cell detection;
cell;
end end;
microscopy ... See more keywords
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Published in 2023 at "Journal for Immunotherapy of Cancer"
DOI: 10.1136/jitc-2022-006596
Abstract: The expansion and persistence of chimeric antigen receptor (CAR) T-cells in patients are associated with response, toxicity, and long-term efficacy. As such, the tools used to detect CAR T-cells following infusion are fundamental for optimizing…
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Keywords:
car cell;
cell;
car;
expansion persistence ... See more keywords
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Published in 2022 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms232113355
Abstract: Blood cell detection is an essential branch of microscopic imaging for disease diagnosis. TE-YOLOF is an effective model for blood cell detection, and was recently found to have an outstanding trade-off between accuracy and model…
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Keywords:
attention;
blood cell;
cell detection;