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@@ -48,8 +48,9 @@ def organ_percentile(img, mask, level, p):
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def main():
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- path = r"C:/Users/strah/OneDrive/Namizje/Raziskave/Melanoma/Retrospective/" #path to folder in which patient images are
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- inputCSV = os.path.join(path, 'cases_retroMManon.csv') #input csv file that has the path to each patient image
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+ # Get the current script's directory
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+ current_dir = os.path.dirname(os.path.abspath(__file__))
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+ inputCSV = os.path.join(current_dir, "..", 'data', 'cases_retroMManon.csv') #input csv file that has the path to each patient image
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#Returns concatinated sequnces of evenly spaced numbers over a specified interval - for SUV percentile
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pv=numpy.concatenate((numpy.linspace(10,50,5),
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@@ -108,7 +109,7 @@ def main():
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Names=numpy.concatenate((Names,col_names))
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#make a dataframe to write the data than in excel - that can be read by another script
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df=pd.DataFrame(alldata,columns=Names)
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- df.to_excel('C:/Users/strah/OneDrive/Namizje/Raziskave/Melanoma/Retrospective/percentilesAnon.xlsx', index=None) #path to where you want to save excel
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+ df.to_excel('..\\data\\percentilesAnon.xlsx', index=None) #path to where you want to save excel
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print("Done.")
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if __name__ == '__main__':
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