Hybrid quantum neural networks improve macro F1-score by up to 3.7% over classical baselines on two public blood cell datasets while remaining robust on noisy quantum hardware.
Accurate classification of white blood cells by coupling pre-trained resnet and densenet with scam mechanism,
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Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks
Hybrid quantum neural networks improve macro F1-score by up to 3.7% over classical baselines on two public blood cell datasets while remaining robust on noisy quantum hardware.