Quantum-Classical Synergy in Medical AI: A Dual Phase Benchmark for Diagnostic Intelligence in Lung Cancer Classification

Abstract excerpt

<title>Abstract</title> <p>Pulmonary nodule classification remains constrained by variability in computed tomography (CT) acquisition protocols, annotation quality, and the extreme class imbalance that hinders accurate decision–making in diagnosis. Traditional deep learning approaches have been severely limited by the lack of diversity in training datasets, their tendency to be overly sensitive to noise, and thei...

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Identifiers and source

Literature Corpus work

b7c9028a-8e9c-5540-84bf-2ad932de6202

DOI

10.21203/rs.3.rs-9569158/v1