2024
DOI: 10.1186/s12931-024-02840-z
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Cross-site validation of lung cancer diagnosis by electronic nose with deep learning: a multicenter prospective study

Meng-Rui Lee,
Mu-Hsiang Kao,
Ya-Chu Hsieh
et al.

Abstract: Background Although electronic nose (eNose) has been intensively investigated for diagnosing lung cancer, cross-site validation remains a major obstacle to be overcome and no studies have yet been performed. Methods Patients with lung cancer, as well as healthy control and diseased control groups, were prospectively recruited from two referral centers between 2019 and 2022. Deep learning models for detecting lung cancer with eNose breathprint were … Show more

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