Additional file 1 of A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study
Supplementary Material 1: Table S1. Parameters used for CT imaging at the two medical centers. Table S2. The performance of the different radiomics machine learning signatures. Figure S1. Convergence of the loss curve. Supplementary materials.
Institutions
- Qingdao University (CN)
- Fifth Hospital of Shijiazhuang (CN)
- Affiliated Hospital of Qingdao University (CN)
- Taishan Medical University (CN)
Publication Details
- Journal
- Figshare
- Published
- 2025-01-01
- DOI
- https://doi.org/10.6084/m9.figshare.28571617.v1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00