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.
Analyzing images of blood cells with quantum machine learning methods: Equilibrium propagation and variational quantum circuits to detect acute myeloid leukemia
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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.