Training Set Augmentation and Biology-Aware Harmonization Improve Radiomic Models for Lung Cancer Prediction in Indeterminate Nodules

arXiv:2412.16758 · physics.med-ph, cs.CV · Submitted 2024-12-21 · Read on arXiv

physics.med-ph, cs.CV

Submitted: 2024-12-21

Updated: 2026-06-09

Code: https://github.com/chuchthausen/HarmonizationLungRadiomics

Terminology

• AUC — 47× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Feature Selection — 5× in this paper · explained in 4 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Clustering — 4× in this paper · explained in 2 episodes
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• External Validation — 2× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Magnitudes of the Pearson Correlation Coefficient — 1× in this paper
• Positron Emission Tomography — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• UVA Institutional Review Board — 1× in this paper

Sources

• Image biomarker standardisation initiative

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