Supplementary Tables 1 and 2 from Semi-Supervised, Attention-Based Deep Learning for Predicting TMPRSS2:ERG Fusion Status in Prostate Cancer Using Whole Slide Images
Year: 2024
Type: supplementary-materials
Abstract: Supplementary Table 1. Performance metrics for the ERG prediction model in the TCGA testing cohort. The table shows the model’s performance in the TCGA testing cohort consisting of 59 whole slide images using different thresholds derived from the training data. PPV: positive predictive value; NPV: negative predictive value; MCC: Matthews Correlation Coefficient. Supplementary Table 2. Performance metrics for the ERG prediction model in the natural history cohort. The table shows the model’s performance in the natural history cohort consisting of 314 whole slide images using different thresholds derived from the training data. PPV: positive predictive value; NPV: negative predictive value; MCC: Matthews Correlation Coefficient.
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4393438593