Simultaneous Identification of EGFR, KRAS, ERBB2, and TP53 Mutations in Patients with Non-Small Cell Lung Cancer by Machine Learning-Derived Three-Dimensional Radiomics
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DOI: 10.3390/cancers13081814
Abstract: Simple Summary Multiple genetic mutations are associated with the outcomes of patients with non-small cell lung cancer (NSCLC) after using tyrosine kinase inhibitor, but the cost for detecting multiple genetic mutations is high. Few studies… read more here.
Keywords: machine learning; egfr kras; erbb2 tp53; kras erbb2 ... See more keywords