Osteoarthritis Classification Using Hybrid Quantum Convolutional Neural Network

Osteoarthritis Classification Using Hybrid Quantum Convolutional Neural Network

This work explores the integration of quantum computing within a classical Convolutional Neural Network (CNN) framework, leveraging a VGG16 model enhanced with a quantum Convolutional Neural Network (QCNN) for the classification of knee osteoarthritis (OA) severity. A custom quantum layer was incorp...

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Bibliographic Details
Main Authors: Devansh Tikariha, Abdul Moomin, D. Jeyamani, P. Rukmani
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Quantum convolutional neural network
VGG16
swish activation function
knee osteoarthritis classification
medical imaging
feature extraction
Online Access:https://ieeexplore.ieee.org/document/11127090/
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