Fig. 2

Global overview of the feature extraction step. Converted images undergo several pre-processing steps (reorientation, N4 bias field correction, color normalization) before submitting each slice as input to a pre-trained EfficientNet-B0 network. This neural network will compute 1280 features (or numerical descriptors) for each slice, resulting in depth × 1280 features for an input volume (where depth corresponds to the number of input slices)