Citation: | ZHOU J, ZHENG Y T, JIANG S Q, et al. Machine Learning Prediction Models for Staging of Non-small Cell Lung Cancer Patients Using Radiomics[J]. CT Theory and Applications, xxxx, x(x): 1-9. DOI: 10.15953/j.ctta.2024.186. (in Chinese). |
Objective: To explore the value of computed tomography (CT) radiomics machine learning classification models for predicting the staging of non-small cell lung cancer (NSCLC). Methods: We downloaded the Lung 1 dataset from the Cancer Imaging Database (TCIA), selected 291 eligible cell lung cancer patients, and divided them into two groups: Group 1 (Stage I and II) and Group 2 (Stage III and IV). We extracted
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