Cross-site validation of lung cancer diagnosis by electronic nose with deep learning: a multicenter prospective study

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...

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Hlavní autoři:	Meng-Rui Lee, Mu-Hsiang Kao, Ya-Chu Hsieh, Min Sun, Kea-Tiong Tang, Jann-Yuan Wang, Chao-Chi Ho, Jin-Yuan Shih, Chong-Jen Yu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2024-05-01
Edice:	Respiratory Research
Témata:	Electronic nose Cross-site validation Lung cancer Breathprint Deep learning Data augmentation
On-line přístup:	https://doi.org/10.1186/s12931-024-02840-z
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