no code implementations • 16 May 2024 • Thomas Z. Li, Kaiwen Xu, Aravind Krishnan, Riqiang Gao, Michael N. Kammer, Sanja Antic, David Xiao, Michael Knight, Yency Martinez, Rafael Paez, Robert J. Lentz, Stephen Deppen, Eric L. Grogan, Thomas A. Lasko, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
This study retrospectively evaluated promising predictive models for lung cancer prediction in three clinical settings: lung cancer screening with low-dose computed tomography, incidentally detected pulmonary nodules, and nodules deemed suspicious enough to warrant a biopsy.
no code implementations • 19 Oct 2020 • Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman
The network can be trained end-to-end with both medical image features and CDEs/biomarkers, or make a prediction with single modality.