Abstract
In this work, we propose an efficient deep-learning algorithm (Deep CBCNet) for CBC classification, utilizing modified YOLOv5. It achieves accurate classification by automatically extracting informative features from CBC data, offering potential for improving clinical decision-making with 96.3% accuracy.
© 2023 The Author(s)
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