text: import matplotlib.pyplot as plt
  import numpy as np
  import pandas as pd
  
  
  def main():
      # todo: load the "results.csv" file from the mia-results directory
      # todo: read the data into a list
      # todo: plot the Dice coefficients per label (i.e. white matter, gray matter, hippocampus, amygdala, thalamus)
      #  in a boxplot
  
      # alternative: instead of manually loading/reading the csv file you could also use the pandas package
      # but you will need to install it first ('pip install pandas') and import it to this file ('import pandas as pd')
      # pass is just a placeholder if there is no other code
  
      myBoxplot = pd.read_csv('./bin/result/..../results.csv', delimiter=';')
      myBoxplot.boxplot(by='LABEL', column=['DICE'], grid=False)
      plt.show()
  
  
  if __name__ == '__main__':
      main()
  