Machine Learning-Based Radiomics Analysis for Identifying KRAS Mutations in Non-Small-Cell Lung Cancer from CT Images: Challenges, Insights and Implications

Machine Learning-Based Radiomics Analysis for Identifying KRAS Mutations in Non-Small-Cell Lung Cancer from CT Images: Challenges, Insights and Implications

Kirsten Rat Sarcoma viral oncogene homolog (KRAS) is a frequently occurring mutation in non-small-cell lung cancer (NSCLC) and influences cancer treatment and disease progression. In this study, a machine learning (ML) pipeline was applied to radiomic features extracted from public and internal CT i...

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Bibliographic Details
Main Authors: Mirjam Schöneck, Nicolas Rehbach, Lars Lotter-Becker, Thorsten Persigehl, Simon Lennartz, Liliana Lourenco Caldeira
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Life
Subjects:
radiomics
NSCLC
Kirsten Rat Sarcoma viral oncogene homolog (KRAS)
machine learning
transfer learning
Online Access:https://www.mdpi.com/2075-1729/15/1/83
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https://www.mdpi.com/2075-1729/15/1/83

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