Machine learning models based on tumoral, 4 mm-peritumoral, and combined radiomic features for evaluating the invasiveness of lung adenocarcinoma manifesting as ground-glass nodules

Abstract

This research paper explore the methodology and findings associated with World Journal of Surgical Oncology. The study delves into the core aspects of the research field, providing significant data and citation impact. (Full abstract processing is available via the OpenAlex API).