Machine learning‐based radiomics to distinguish pulmonary nodules between lung adenocarcinoma and tuberculosis
Yuan Li,
Baihan Lyu,
Rong Wang
et al.
Abstract:BackgroundRadiomics is increasingly utilized to distinguish pulmonary nodules between lung adenocarcinoma (LUAD) and tuberculosis (TB). However, it remains unclear whether different segmentation criteria, such as the inclusion or exclusion of the cavity region within nodules, affect the results.MethodsA total of 525 patients from two medical centers were retrospectively enrolled. The radiomics features were extracted according to two regions of interest (ROI) segmentation criteria. Multiple logistic regression… Show more
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