Training Set Augmentation and Harmonization Enables Radiomic Models to Detect Early Onset of Lung Cancer
Huchthausen C; Shi M; Sousa GL; Larner J; Janowski E; Colen J; Wijesooriya K · 2025 · Preprint
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Abstract Radiomics-based machine learning models have the potential to detect lung cancer at inception from CT scans and transform patient outcomes. Low malignancy rates in early-development pulmonary nodules (PNs) and variable image…
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Metadata source: Europe PMC · DOI 10.21203/rs.3.rs-7350820/v1