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Table 1 A description of the two retrospective imaging datasets employed in this work

From: Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI

Dataset Number of patients Imaging Resolution (pixels) Slice thickness (mm.)
D 1 12 T2w (small FOV) 192×192 - 256×256 2.0-3.5
  12 T2w (large FOV) 320×320 - 512×512 3.0-5.0
  12 DWI 192×192 - 256×256 2.0-3.5
  12 CT (post-brachytherapy) 512×512 3.0
  1 CT (pre-EBRT) 512×512 3.0
D 2 11 T2w 256×256 - 512×512 3.0-3.3
  11 DWI 256×256 - 512×512 3.0-3.3
  1. D 2 was used in the training of radiomics based machine learning classifier. This classifier was used to obtain cancer delineations for D 1