Article

RadGenNets: Deep Learning-Based Radiogenomics Model For Gene Mutation Prediction In Lung Cancer

2022-04-15

Abstract excerpt

<h4> A bstract </h4> 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...

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Literature Corpus work: f31ecd12-2613-5132-be57-8c49887840ed
DOI: 10.1101/2022.04.13.488208

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