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Fig. 4 | Breast Cancer Research

Fig. 4

From: Weakly-supervised deep learning models enable HER2-low prediction from H &E stained slides

Fig. 4

Model explicability analysis. A Tile embedding is plotted using the PCA results for each model and fold, only coloring regions according to the HER2 group classification that relies on attention to that embedding. B Colored bins indicate features used by 50% of the folds within each model. C The consistency of the models highlights how many models use the same embedding for classifying each HER2 group. There are three levels of agreement: i. 2 or more; ii. 3 or more; iii. 4 or more. D Examples of tiles from the embedding space for each class

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