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Visual Computing for Industry, Biomedicine, and Art

Table 7 AUC scores of LMA without duplicate angles over 100 training and testing groups

From: Multi-scale characterizations of colon polyps via computed tomographic colonography

 

Angles = 13

Angles = 49

Angles = 145

S = 1

0.8818 ± 0.0438

0.8833 ± 0.0387

0.8926 ± 0.0383

S = 2

0.8621 ± 0.0487

0.8524 ± 0.0512

0.8515 ± 0.0499

S = 3

0.9043 ± 0.0382

0.9054 ± 0.0388

0.9062 ± 0.0387

S = 4

0.8919 ± 0.0382

0.9084 ± 0.0376

0.8918 ± 0.0385

S = 5

0.9159 ± 0.0408

0.9176 ± 0.0337

0.9263 ± 0.0369

S = 6

0.9057 ± 0.0394

0.9077 ± 0.0377

0.9121 ± 0.0383

S = 7

0.9450 ± 0.0285

0.9401 ± 0.0319

0.9388 ± 0.0285

S = 8

0.8887 ± 0.0366

0.8962 ± 0.0335

0.8939 ± 0.0362

S = 9

08825 ± 0.0452

0.9226 ± 0.0364

0.9202 ± 0.0384

Average

0.8975 ± 0.0399

0.9037 ± 0.0377

0.9037 ± 0.0382

  1. AUC Area under the curve of receiver operating characteristic curve, LMA Learning model by multiple angles
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