Article

RadGenNets: Deep learning-based radiogenomics model for gene mutation prediction in lung cancer

2022-01-01

Abstract excerpt

In this paper, we present our methodology that can be used for predicting gene mutation in patients with non-small cell lung cancer (NSCLC). There are three major types of gene mutations that a NSCLC patient’s gene structure can change to: epidermal growth factor receptor (EGFR), Kirsten rat sarcoma virus (KRAS), and Anaplastic lymphoma kinase (ALK). We worked with the clinical and genomics data for each of the 13...

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Literature Corpus work: 2cb143c1-234d-5c08-a5c2-db40e868362b
DOI: 10.1016/j.imu.2022.101062

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