NEURO-Q-NET: Quantum-Enhanced Ensemble for Neurodegenerative Disease Detection

DOI

10.2991/978-94-6239-693-7_7How to use a DOI?

Keywords

Neurodegenerative Diseases; FDG-PET; Deep Learning; GAN; Quantum Machine Learning; Ensemble Models

Abstract

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 high-quality 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.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - M. Mohammed Shiek Mydeen
AU  - R. Manoj
AU  - R. Nancy Noella
PY  - 2026
DA  - 2026/06/16
TI  - NEURO-Q-NET: Quantum-Enhanced Ensemble for Neurodegenerative Disease Detection
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 50
EP  - 61
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_7
DO  - 10.2991/978-94-6239-693-7_7
ID  - Mydeen2026
ER  -