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Highly specific blood cell classification using a novel deep learning framework with an interactive cloud-based GUI
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AI
DOI：10.1016/j.bspc.2026.110469.png)
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Abstract
En 中文
• YOLOv5-based AI framework for complete blood cell classification. • C3TR + BiFPN enhance multi-scale blood cell feature extraction. • Achieves 96.3% accuracy with only 7.5M parameters. • Balances high accuracy with low computational complexity. • Cloud-enabled GUI for remote blood cell classification visualization.
Keywords:
YOLOv5
blood cell classification
multi-scale feature extraction
cloud-based GUI
deep learning framework
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