Back to original features out filename

02_radiomics_features_extraction/extract_features_radiomics.py

 #%%
 import os
+import warnings
 from pathlib import Path
 
-import SimpleITK as sitk
 import numpy as np
 import pandas as pd
-
+import SimpleITK as sitk
 from tqdm import tqdm
-from pyradiomics_radler import MyRadiomicsFeaturesExtractor as RadiomicsFeatureExtractor
+
 from multiproc import ListMultiprocessing
-import warnings
+from pyradiomics_radler import MyRadiomicsFeaturesExtractor as RadiomicsFeatureExtractor
 
 warnings.filterwarnings("ignore")
 # %%
 
 # os.chdir('..')
-DATASET = Path('HN_BZ')
+DATASET = Path('HN_val')
 BBOX = 'bbox_64_rad'
 VOXEL_SPACING = (1.0, 1.0, 1.0)
 SCAN_NAMES = ['CT', 'PT']
@@ -28,7 +28,7 @@ PIXEL_SPACING = [1.0, 2.0, 3.0, 4.0, 5.0]
 #%%
 DATADIR = Path('data') / DATASET / 'processed' / 'bbox' / BBOX
 OUTDIR = Path('data') / DATASET / 'processed'
-OUTFILE = f'radiomics_features_{BBOX}_1.csv'  # output file name
+OUTFILE = f'radiomics_features_{BBOX}.csv'  # output file name
 
 clinical = pd.read_csv(Path('data') / DATASET / 'processed' / f'clinical_{DATASET}.csv')