Stacking Ensemble Learning-Based [18F]FDG PET Radiomics for Outcome Prediction in Diffuse Large B-Cell Lymphoma

Conclusion: The combined model that incorporates [18F]FDG PET radiomics and clinical characteristics based on stacking ensemble learning could enable improved risk stratification in DLBCL.

Source: Journal of Nuclear Medicine - October 3, 2023 Category: Nuclear Medicine Authors: Zhao, S., Wang, J., Jin, C., Zhang, X., Xue, C., Zhou, R., Zhong, Y., Liu, Y., He, X., Zhou, Y., Xu, C., Zhang, L., Qian, W., Zhang, H., Zhang, X., Tian, M. Tags: Clinical Investigations Source Type: research