NEURO-Q-NET: Quantum-Enhanced Ensemble for Neurodegenerative Disease Detection
M. Mohammed Shiek Mydeen, R. Manoj, R. Nancy Noella
Neurodegenerative diseases are a group of progressive disorders that affect the nervous system, characterized by a gradual deterioration in mental and physical functions.In the domain of neurodegenerative diseases, Alzheimer's disease (AD) and Parkinson's disease (PD) are some of the most prevalent diseases that are very difficult to diagnose in advance stages.In order to address the issue of the present methods that are currently practiced for the diagnosis of neurodegenerative diseases, a novel diagnostic approach, termed as Neuro-Q-Net, is proposed in the developmental work of this study that possesses the capability to diagnose more than one neurodegenerative disease at a time using the Fluorodeoxyglucose Positron Emits Scan images taken from the brain of a human.In order to address the issue of unavailability of imbalanced scans in the domain of medicine, the utilization of a novel approach in computer science, termed as a Generational Adversarial Network (Gan), is suggested that assist in generating highquality images to increase the efficiency of neural networks.We use deep convolutional neural networks for feature identification, followed by Quantum Machine Learning.Our experiments show that this approach outperforms existing models in accuracy, specificity, and sensitivity.The proposed system offers an effective clinical tool for diagnosing neuro-degenerative illnesses.
Atlantis Highlights in Intelligent Systems/Atlantis highlights in intelligent systems•Jan 1, 2026•0 citations