--- a
+++ b/scripts/cv_analysis/pp.py
@@ -0,0 +1,43 @@
+#==============================================================================#
+#  Author:       Dominik Müller                                                #
+#  Copyright:    2020 IT-Infrastructure for Translational Medical Research,    #
+#                University of Augsburg                                        #
+#                                                                              #
+#  This program is free software: you can redistribute it and/or modify        #
+#  it under the terms of the GNU General Public License as published by        #
+#  the Free Software Foundation, either version 3 of the License, or           #
+#  (at your option) any later version.                                         #
+#                                                                              #
+#  This program is distributed in the hope that it will be useful,             #
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of              #
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the               #
+#  GNU General Public License for more details.                                #
+#                                                                              #
+#  You should have received a copy of the GNU General Public License           #
+#  along with this program.  If not, see <http://www.gnu.org/licenses/>.       #
+#==============================================================================#
+#-----------------------------------------------------#
+#                   Library imports                   #
+#-----------------------------------------------------#
+import tensorflow as tf
+from miscnn.data_loading.interfaces import NIFTI_interface
+from miscnn import Data_IO
+from miscnn.evaluation.cross_validation import split_folds
+
+#-----------------------------------------------------#
+#                Running Preprocessing                #
+#-----------------------------------------------------#
+for i in range(2,5):
+    # Initialize Data IO Interface for NIfTI data
+    ## We are using 4 classes due to [background, lung_left, lung_right, covid-19]
+    interface = NIFTI_interface(channels=1, classes=4)
+
+    # Create Data IO object to load and write samples in the file structure
+    data_io = Data_IO(interface, input_path="data", delete_batchDir=False)
+
+    # Access all available samples in our file structure
+    sample_list = data_io.get_indiceslist()
+    sample_list.sort()
+
+    # Split samples into k (training, validation) folds
+    split_folds(sample_list, k_fold=i, evaluation_path="evaluation.cv" + str(i))