Open access
Aug 2026
Benchmarking Deep Learning for NSCLC PET/CT Segmentation on a Histologically Confirmed Vietnamese Dataset: Validation and Generalization
The fine-tuned nnU-Net model demonstrated a high correlation between the MTV and the ground truth, indicating its potential as a reliable automated approach for quantitative MTV extraction and NSCLC prognostic-related analysis.
Q. Hồ, Ngoc Ha Bui, T. Tran et al.
· Journal of Imaging · 0 citations