A parameter-matched hybrid QCNN fusing classical features with amplitude-encoding and angle-encoding 4-qubit VQCs achieves statistically significant accuracy gains over a classical CNN on BreastMNIST (Wilcoxon p=0.03125, Cohen's d=2.14).
Current and future burden of breast cancer: Global statistics for 2020 and 2040,
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Parallel Multi-Circuit Quantum Feature Fusion in Hybrid Quantum-Classical Convolutional Neural Networks for Breast Tumor Classification
A parameter-matched hybrid QCNN fusing classical features with amplitude-encoding and angle-encoding 4-qubit VQCs achieves statistically significant accuracy gains over a classical CNN on BreastMNIST (Wilcoxon p=0.03125, Cohen's d=2.14).