Save npy with filename given in clinical file

preprocessing/extract_roi_volume.py

@@ -55,6 +55,7 @@ for i, row in tqdm(clinical.iterrows()):
 
     try:
         patient = row['patient']
+        filename_out = row['filename']
         roi_name = row['ROI_name']
         roi_modality = row['ROI_modality']
 
@@ -105,7 +106,7 @@ for i, row in tqdm(clinical.iterrows()):
         out = np.stack([sitk_to_numpy(scan_CT_box), sitk_to_numpy(scan_PT_box)], axis=0)
 
         # save
-        np.save(f'{OUTDIR}/{patient}.npy', out)
+        np.save(OUTDIR / filename_out, out)
 
         del scan_CT_box, scan_PT_box, segmentation, out
         gc.collect()