A Self-Supervised Foundation Model Based on Three-Dimensional Chest CT Scans for Lung Cancer Diagnosis and Prognosis Prediction
Junxian Li, Yuchen Xing, Ximin Gao, Zhaoxiang Ye, Meng Wang, Fengju Song
原始摘要（英文原文）· Original abstract
The self-supervised Unified CT-Based Lung Cancer Imaging Foundation model, trained on 33 901 chest scans, surpassed state-of-the-art algorithms in predicting lung cancer histologic subtype, stage, survival, and recurrence while reducing annotation demands.