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. Author manuscript; available in PMC: 2010 Jul 7.
Published in final edited form as: Med Phys. 2004 Oct;31(10):2871–2882. doi: 10.1118/1.1800713

Table I.

Performance of the automated nipple detection program. The nipple detection accuracy is quantified as the percentage of images in which the detected nipple location is within 1 cm to the gold standard.

Number of
images		 Rule-based
method		 Rule-based method
with texture analysis
Training
set		 Visible 301 82.39% (248/301) 89.37% (269/301)
Invisible 76 65.79% (50/76) 69.74% (53/76)
All 377 79.05% (298/377) 85.41% (322/377)
Test set Visible 298 89.93% (268/298) 92.28% (275/298)
Invisible 69 47.83% (33/69) 53.62% (37/69)
All 367 82.02% (301/367) 85.01% (312/367)