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Quantum-Enhanced Oral Disease Detection Using Hybrid Quantum-Classical Neural Networks

2026-05-08

Abstract excerpt

Around the half of the population in the world are affected by oral diseases, making it one of the most common health conditions. Quantum implementation in medical domain has revealed its potential and versatile applicability especially in medical imaging. This paper explores oral disease identification using hybrid quantum-classical neural networks (HQCNN) and quantum convolution neural networks (QCNN). Our work...

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Literature Corpus work
04706971-c31f-53ba-9496-0b1546d7cec5
DOI
10.20944/preprints202605.0525.v1
Open publication

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