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Quantum-Enhanced CNN for Multi-Class Retinal Disease Classification from OCT Images

2026-03-20

Abstract excerpt

<title>Abstract</title> <p>This study demonstrates that a hybrid CNN–QNN architecture outperforms classical CNNs for multi-class retinal OCT classification by leveraging variational quantum circuits to enhance feature separability. Early detection of retinal diseases through optical coherence tomography (OCT) imaging is critical for timely intervention and vision preservation. While classical convolutional neural...

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Literature Corpus work
d6bcdc96-4970-5ba5-a230-d8ef8c1f29dd
DOI
10.21203/rs.3.rs-9170670/v1
Open publication

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Quantum-Enhanced CNN for Multi-Class Retinal Disease Classification from OCT ImagesDOI 10.21203/rs.3.rs-9170670/v1
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