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    Deep learning-based microcirculation performance classification using multispectral photoacoustic technology by Chua, Hui Ling, Huong, Audrey

    Published 2024
    “…The ultrasonic waves collected from their posterior left arm under two experimental settings, namely at rest (i.e., control) and with arterial blood flow occlusions, were used to predict the microcirculation changes in tissue using the deep networks. Our findings showed the superiority of the hybrid model over the Alexnet and LSTM, with an average testing accuracy of 95.7 % and precision of 98.2 %, making it an ideal deep learning model for the task. …”
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