Figure 3: Principal Components Analysis of the hand-crafted and learned features.
From: Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer
The scatterplot shows the 3 first principal components values of (a) the hand-crafted features and (b) the convolutional neural network learned features. Dots correspond to single cells in one cross-validation fold. Colours correspond to manually defined classes.
