A Hybrid Quantum-Classical Approach for Multi-Class Skin Disease Classification Using a 4-Qubit Model

A Hybrid Quantum-Classical Approach for Multi-Class Skin Disease Classification Using a 4-Qubit Model

Quantum machine learning (QML) presents a promising avenue for addressing complex classification challenges, yet its application in medical imaging remains largely unexplored. This work introduces a hybrid quantum-classical framework designed to classify skin diseases, Chickenpox, Measles, Monkeypox...

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Bibliographic Details
Main Authors: Aravinda C V, Emerson Raja Joseph, Sultan Alasmari
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Quantum machine learning
skin disease classification
quantum convolutional neural network
variational quantum classifier
PCA
SPSA
Online Access:https://ieeexplore.ieee.org/document/11039626/
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https://ieeexplore.ieee.org/document/11039626/

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