Supplementary Figure 1 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 Figure 1. Progression-free survival in the TCGA cohort using the cellular composition of the whole slide images. Kaplan-Meier curves showing the association between the fraction of each nuclear type and progression-free survival. The fraction of each cell type was calculated by dividing the absolute number of that cell type over the number of all cells in the whole slide. The stromal to neoplastic ratio was calculated by dividing the number of stromal cells by that of neoplastic cells in the whole slide. These fractions were then then binarized into high versus low using maximally selected log-rank statistics.
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4393438587