Compile features using exact same dataset settings

[siemdejong]

Describe the bug
The features may not have to be compiled using exactly the same settings for the datamodule as on which the feature extractor is trained.
This is a problem, as it might perform bad on images without a mask or tiles with a different size or mpp.

To Reproduce
Steps to reproduce the behavior:

1. Train a feature extractor
2. Compile features with a new PMCHHGImageDataset

Desktop (please complete the following information):

• DPAT version 4.3.2

Additional context
A solution might be to save the pytorch lightning hyperparameters with save_hyperparameters or ask for the specific config file the feature extractor trained with, and use those variables for instantiation of PMCHHGImageDataset