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@@ -17,7 +17,7 @@ code_dir = os.path.dirname(os.path.abspath(__file__))
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parent_dir = os.path.dirname(code_dir)
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# Load the CSV data
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-input_file_path = os.path.join(parent_dir, 'output', "Quantitative_outputs", "onlyCST",'Quantitative_results_from_dwi_processing_withOutWM_and_partialCST.csv')
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+input_file_path = os.path.join(parent_dir, 'output', "Quantitative_outputs",'Quantitative_results_from_dwi_processing_only_in_stroke_slices.csv')
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df = pd.read_csv(input_file_path, low_memory=False)
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# Initialize an empty list to store results
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@@ -106,7 +106,7 @@ with ThreadPoolExecutor(max_workers=6) as executor:
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results_df = pd.DataFrame(results)
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# Define output path for the new CSV
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-output_file_path = os.path.join(parent_dir, 'output', "Quantitative_outputs", 'Significance_stroke_vs_sham_difference_withoutWMmask_partialCST.csv')
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+output_file_path = os.path.join(parent_dir, 'output', "Quantitative_outputs", 'Significance_stroke_vs_sham_difference_withoutWMmask_only_in_stroke_slices.csv')
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# Save results to CSV
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results_df.to_csv(output_file_path, index=False)
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