--- a
+++ b/combinedDeepLearningActiveContour/sortData.m
@@ -0,0 +1,50 @@
+% read mat files and store them as a 3D matrix for further processing
+clc 
+close all
+clear all
+%%
+imset='training';
+%imset='validation';
+%imset='online';
+
+folder=['matFiles/',imset,'/ED/'];
+D=dir([folder,'\*.mat']);
+numpatients = length(D(not([D.isdir])));
+
+t_I=[];
+t_yROI=[];
+t_Iroi=[];
+t_yLV=[];
+t_yMC=[];
+t_contoursLV=[];
+t_contoursMC=[];
+t_centers=[];
+t_LV_cont_names=[];
+t_MC_cont_names=[];
+for k=1:numpatients
+    imgname=['matFiles/',imset,'/ED/ED_P',num2str(k)];
+%    yname=['matFiles/',imset,'/yROI_ED',num2str(k)];
+    load (imgname);
+%    load (yname);
+    t_I=cat(3,t_I,I);
+    t_yROI=cat(3,t_yROI,yROI);
+    t_Iroi=cat(3,t_Iroi,Iroi);
+    
+    t_yLV=cat(3,t_yLV,yLV);
+    t_yMC=cat(3,t_yMC,yMC);
+    
+    t_contoursLV=[t_contoursLV,contours_LV(1:size(I,3))];
+    t_contoursMC=[t_contoursMC,contours_MC(1:size(I,3))];
+    
+    t_centers=[t_centers,contour_center(1:size(I,3))];
+    slice_per_patient(k)=size(I,3);
+    t_LV_cont_names=[t_LV_cont_names;LV_contours_names];
+    t_MC_cont_names=[t_MC_cont_names;MC_contours_names];
+end
+
+filename=['matFiles/',imset,'_dataED'];
+
+save (filename,'t_I','t_yROI','t_Iroi','t_yLV','t_yMC','t_contoursLV','t_contoursMC','t_centers','numpatients',...
+'slice_per_patient','t_LV_cont_names','t_MC_cont_names');
+    
+display('file has been saved')    
\ No newline at end of file