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shoulder-prostheses

To run segmentation and circle detection tests:

python ./segmentation.py img_file_dir/ [names text doc] [circle only? True/False] [threshold]

  • img_file_dir: the directory containing the image files
  • optional args:
    • names text doc: the text file listing the names of the image files to run (default 'image_file_names.txt')
    • circle only?:
      • True: Only run circle detection
      • False: Run circle detection and segementation (default)
    • threshold: Integer value for the threshold for seeded region growing algorithm (default 5)

Circle detection

  • True positive: correct circle found
  • False positive: wrong circle found
  • True negative: no implant present, no circle found (not applicable for our test set)
  • False positive: implant is present, but no circle is found

####Format for entering results in circle_detection.txt: #####version_model TP FP TN FN No spaces in version and model!

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