Two-Stage Deep-Learning Classifier for Diagnostics of Lung Cancer Using Metabolites

We developed a machine-learning system for the selective diagnostics of adenocarcinoma (AD), squamous cell carcinoma (SQ), and small-cell carcinoma lung (SC) cancers based on their metabolomic profiles. The system is organized as two-stage binary classifiers. The best accuracy for classification is...

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Detalles Bibliográficos
Autores principales: Choudhary, Ashvin, Yu, Jianpeng, Kouznetsova, Valentina L., Kesari, Santosh, Tsigelny, Igor F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10609149/
https://www.ncbi.nlm.nih.gov/pubmed/37887380
http://dx.doi.org/10.3390/metabo13101055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10609149/
https://www.ncbi.nlm.nih.gov/pubmed/37887380
http://dx.doi.org/10.3390/metabo13101055

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