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Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices
The approach we used in this study was based on Faster Region-based Convolutional Neural Networks (Faster RCNNs), and a transfer learning process was applied to apply this technique to the microscopic detection of blood cells.
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