Yu-Qi Meng

Comparative analysis of two-dimensional and three-dimensional machine learning models for predicting the degree of invasion in lung non-mucinous adenocarcinomas presenting as subsolid nodules

Introduction Most malignant subsolid nodules (SSNs) are non-mucinous adenocarcinomas, and prognosis varies substantially with the degree of invasion. Previous studies have shown that the solid component of SSNs is closely associated with invasiveness. With advances in image analysis, three-dimensional (3D) computed tom...