The effect of variable labels on deep learning models trained to predict breast density

no code implementations • 8 Oct 2022 • Steven Squires, Elaine F. Harkness, D. Gareth Evans, Susan M. Astley

However, when we train different models to investigate the representation effect we see little difference, with Spearman rank correlation coefficients of $0. 846\pm0. 006$ and $0. 850\pm0. 006$ showing no statistically significant difference in the quality of the model representation with regard to density prediction.

Transfer Learning