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A Robustness-Oriented Quantum–Classical Hybrid Machine Learning Pipeline for Breast Cancer Diagnosis: External Validation, Explainability, and Rigorous Benchmarking in the NISQ Era.

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Title: A Robustness-Oriented Quantum–Classical Hybrid Machine Learning Pipeline for Breast Cancer Diagnosis: External Validation, Explainability, and Rigorous Benchmarking in the NISQ Era.
Authors: Zorlu, Gokhan1 (AUTHOR), Colak, Cemil2 (AUTHOR) cemil.colak@inonu.edu.tr
Source: Diagnostics (2075-4418). Jul2026, Vol. 16 Issue 13, p1996. 29p.
Database: Academic Search Ultimate
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        Value: 10.3390/diagnostics16131996
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        Text: English
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        PageCount: 29
        StartPage: 1996
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      – TitleFull: A Robustness-Oriented Quantum–Classical Hybrid Machine Learning Pipeline for Breast Cancer Diagnosis: External Validation, Explainability, and Rigorous Benchmarking in the NISQ Era.
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              Text: Jul2026
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