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Enhancing Gene Mutation Prediction With Sparse Regularized Autoencoders in Lung Cancer Radiomics Analysis

2024-12-26

Abstract excerpt

Non-small cell lung cancer (NSCLC) remains the major contributor to global deaths annually. A slow and long screening and diagnostic process may lower 5-year survival rates. In cancer precision medicine, radiomics and machine learning are emerging as paradigm shifts in complementing cancer experts. However, these solutions usually suffer from small sample sizes, high dimensional radiomics features, and class imbal...

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Literature Corpus work
69906e6f-ef18-5e2b-a6e1-6929ee9d0a2f
DOI
10.1109/access.2024.3523330
Open publication

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Enhancing Gene Mutation Prediction With Sparse Regularized Autoencoders in Lung Cancer Radiomics AnalysisDOI 10.1109/access.2024.3523330
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