Evaluation of QCNN-LSTM for Disability Forecasting in Multiple Sclerosis using Sequential Multisequence MRI
John Mayfield,
Issam El Naqa
Abstract:Introduction
Quantum Convolutional Neural Network (QCNN) - Long Short-Term Memory (LSTM) models were studied to provide sequential relationships for each timepoint in MRIs of patients with Multiple Sclerosis (MS). In this pilot study, we compare three QCNN-LSTM models for binary classification of MS disability benchmarked against classical neural network architectures. Our hypothesis is that quantum models will provide competitive performance.
Methods
Matrix Product State (MPS), Reverse Multistate Entanglemen… Show more
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