Fig. 5: Visual explanations of the models.
From: A deep learning approach to predict differentiation outcomes in hypothalamic-pituitary organoids
a Representative examples of the heatmaps of EfficientNetV2-S generated by Grad-CAM and a tabulation of where attention was focused. EfficientNetV2-S focuses on specific areas such as the periphery and cysts, just as did the experts. b Representative examples of the results of principal component analysis of Vision Transformer using Deep ViT Features. Merge images were generated with PC2, PC3, and PC4, which are thought to be involved in the classification of aggregates. PC1 principal component 1, PC2 principal component 2, PC3 principal component 3, PC4 principal component 4.
