diff --git a/ShoulderCase/@MusclesContainer/plot.m b/ShoulderCase/@MusclesContainer/plot.m
index 4c7d85c..01485e5 100644
--- a/ShoulderCase/@MusclesContainer/plot.m
+++ b/ShoulderCase/@MusclesContainer/plot.m
@@ -1,39 +1,39 @@
 function output = plot(obj,varargin)
   % For now this function is specific to plotting the rotator cuff segmentation
   % results
 
   if nargin == 2
     error('Provide the slice name and the mask name or provide nothing (auto slice and segmentations will be plotted).')
   elseif nargin == 3
     sliceName = [varargin{1} '_ForSegmentation.png'];
-    maskName = [varargin{2} '.png'];
+    maskName = [varargin{2} '_Mask.png'];
   else
-    sliceName = 'rotatorCuff_ForSegmentation.png';
-    maskName = 'auto_Mask.png';
+    sliceName = 'rotatorCuffMatthieu_ForSegmentation.png';
+    maskName = 'autoMatthieu_Mask.png';
   end
 
   SCase = obj.shoulder.SCase;
   muscleNames = fields(obj.list);
 
   rotatorCuffCrossSection = imread(fullfile(obj.slicesDataPath,sliceName));
 
   leg = {};
   plotHandle(1) = imshow(rotatorCuffCrossSection);
   hold on
   colors = {'g','r','b','y'};
 
   for i = 1:length(muscleNames)
     try
       segmentedImage = imread(fullfile(obj.list.(muscleNames{i}).maskDataPath,maskName));
     catch
       continue
     end
 
     if (max(segmentedImage,[],'all') > 0)   % if segmentation result is not empty
       leg{end+1} = muscleNames{i};
       [~,plotHandle(i+1)] = contour(segmentedImage,'color',colors{i});
     end
   end
   plotHandle(i+2) = legend(leg);
   output = plotHandle;
 end