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Visual Computing for Industry, Biomedicine, and Art

Table 6 AUC scores of LMA with duplicates angles over 100 training and testing groups

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

 

Angles = 13

Angles = 62

Angles = 171

S = 1

0.8818 ± 0.0438

0.8899 ± 0.0378

0.8887 ± 0.0377

S = 2

0.8621 ± 0.0487

0.8527 ± 0.0463

0.8561 ± 0.0512

S = 3

0.9043 ± 0.0382

0.9053 ± 0.0387

0.9055 ± 0.0374

S = 4

0.8919 ± 0.0382

0.9075 ± 0.0369

0.8993 ± 0.0354

S = 5

0.9159 ± 0.0408

0.9211 ± 0.0385

0.9246 ± 0.0347

S = 6

0.9057 ± 0.0394

0.90764 ± 0.0364

0.9093 ± 0.0392

S = 7

0.9450 ± 0.0285

0.9457 ± 0.0293

0.9378 ± 0.0304

S = 8

0.8887 ± 0.0366

0.9004 ± 0.0373

0.8959 ± 0.0371

S = 9

08825 ± 0.0452

0.9194 ± 0.0391

0.9187 ± 0.0435

Average

0.8975 ± 0.0399

0.9055 ± 0.0378

0.9039 ± 0.0385

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