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Table 3 Qualitative scoring by MD review for each OAR of each autocontouring method

From: Deep learning tools for the cancer clinic: an open-source framework with head and neck contour validation

ROI

DLC SCORING

1

2

3

4

5

Brain

74%

26%

–

–

–

Brainstem

89%

11%

–

–

–

Cochlea L

100%

–

–

–

–

Cochlea R

95%

5%

–

–

–

Parotid L

5%

95%

–

–

–

Parotid R

5%

95%

–

–

–

Submandibular L

74%

21%

5%

–

–

Submandibular R

79%

16%

5%

–

–

Brachial plexus

32%

53%

15%

–

–

Spinal cord

69%

31%

–

–

–

Larynx

–

11%

89%

–

–

ROI

ABAS SCORING

1

2

3

4

5

Brain

100%

–

–

–

–

Brainstem

100%

–

–

–

–

Cochlea L

63%

37%

–

–

–

Cochlea R

69%

31%

–

–

–

Parotid L

21%

79%

–

–

–

Parotid R

16%

79%

5%

–

–

Submandibular L

5%

58%

37%

–

–

Submandibular R

15%

53%

21%

11%

–

Brachial plexus

26%

16%

11%

47%

–

Spinal cord

100%

–

–

–

–

Larynx

–

26%

74%

–

–

  1. DLC: Deep Learning Contour; ABAS: Atlas-based Contours. Grading scale: 1—No changes necessary; 2—Mild changes (not clinically significant); 3—Moderate changes (clinically significant); 4—Unacceptable contour, discard and segment manually; 5—Structure failed to contour