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What is Hybrid Quantum Model for Cardiac Pathology Classification about?

The document presents a hybrid quantum multiclass cardiac pathologies classification model (HQMC-CPC) that integrates a modified hardware-efficient ansatz for improved classification of cardiac diseases using machine learning techniques. The model utilizes features extracted from cardiac cine magnetic resonance imaging (CMRI) and demonstrates significant performance improvements over classical classifiers, achieving an average accuracy increase of 7.77% and a 60% faster testing process. The study highlights

Author

cseb2k2327

Language

EN