We propose a novel Quasi Quantum Neural Network (Q²NN) architecture that integrates classical convolutional networks with variational quantum circuits to decrypt grayscale images encrypted via a ...
Unlike previous works, this open data collection consists of X-ray cone-beam (CB) computed tomography (CT) datasets specifically designed for machine learning applications and high cone-angle artefact ...
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