AI RESEARCH
Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks
arXiv CS.CV
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ArXi:2605.23324v1 Announce Type: new Accurate classification of microscopic blood cells is still a critical task in medical image analysis, where subtle variations and limited data can challenge conventional deep learning models. As such, we investigate in this work the potential of Hybrid Quantum-Classical Neural Networks (HQNNs) to enhance feature representation and improve classification performance in this domain.