For CT radiomics of lung nodules, harmonizing benign and malignant nodules separately or with a biological covariate beats collective harmonization at preserving features and predicting malignancy.
The growth feature and its diagnostic value for benign and malignant pulmonary nodules met in routine clinical practice
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Training Set Augmentation and Biology-Aware Harmonization Improve Radiomic Models for Lung Cancer Prediction in Indeterminate Nodules
For CT radiomics of lung nodules, harmonizing benign and malignant nodules separately or with a biological covariate beats collective harmonization at preserving features and predicting malignancy.