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Radiomics-Based Lung Nodule Classification with Stacking Ensembles

2025-04-29

Abstract excerpt

Radiomics, an emerging field in medical imaging, leverages advanced mathematical analysis to extract quantitative metrics from medical images, aiding in the early detection, diagnosis, and treatment of lung cancer. This study focuses on improving the risk prediction of small lung nodules using machine learning models. We employed a stacking ensemble approach, integrating Principal Component Analysis (PCA) for dime...

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Literature Corpus work
c47557ac-03e7-51d1-a60b-597fb38204f5
DOI
10.1101/2025.04.28.25326620
Open publication

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Radiomics-Based Lung Nodule Classification with Stacking EnsemblesDOI 10.1101/2025.04.28.25326620
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