Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer

Early identification of epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations is crucial for selecting a therapeutic strategy for patients with non-small-cell lung cancer (NSCLC). We proposed a machine learning-based model for feature selection and p...

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Detalles Bibliográficos
Autores principales: Le, Nguyen Quoc Khanh, Kha, Quang Hien, Nguyen, Van Hiep, Chen, Yung-Chieh, Cheng, Sho-Jen, Chen, Cheng-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431041/
https://www.ncbi.nlm.nih.gov/pubmed/34502160
http://dx.doi.org/10.3390/ijms22179254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431041/
https://www.ncbi.nlm.nih.gov/pubmed/34502160
http://dx.doi.org/10.3390/ijms22179254

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