+--- data/                              # The folder containing brain MRIs
|
+-+- models/                            # The folder containing models
| +--- resnet.py                        # The base model builder
| +--- resnet_10.pth                    # The pretrained Resnet model with 10 layers
| +--- resnet_18.pth                    # The pretrained Resnet model with 18 layers
| +--- resnet_34.pth                    # The pretrained Resnet model with 34 layers
| +--- resnet_50.pth                    # The pretrained Resnet model with 50 layers
| +--- resnet_101.pth                   # The pretrained Resnet model with 101 layers
| +--- resnet_152.pth                   # The pretrained Resnet model with 152 layers
| +--- resnet_200.pth                   # The pretrained Resnet model with 200 layers
|
+--- results/                           # The folder containing both train and test results
+--- __init__.py                        # An empty file to make this directory being a Python library
+--- dataset.py                         # The dataset loader
+--- model.py                           # The fine-tuned model builder
+--- preprocess_to_numpy.py             # A script to preprocess the dataset and store it into numpy files
+--- README.md                          # This file
+--- requirements.txt                   # The Python libraries to be installed in order to run the project
+--- settings.json                      # The settings of the model and the train phase
+--- test.py                            # A script to test the fine-tuned model performances
+--- train.py                           # A script to train the fine-tuned model
+--- utils.py                           # Some utils