Research Article
Theoretical Background to Automated Diagnosing of Oral Leukoplakia: A Preliminary Report
Table 1
Summary statistics of textural features in normal oral mucosa and leukoplakia lesions.
| Textural feature | Reference mucosa | Leukoplakia lesion | ANOVA |
| Long run emphasis inverse moments | 9.70 ± 15.38 | 13.93 ± 8.90 | F = 1.99; | Short run emphasis inverse moments | 0.64 ± 0.14 | 0.56 ± 0.08 | F = 10; | Entropy | 1.73 ± 0.12 | 1.62 ± 0.10 | F = 16; | Difference entropy | 0.56 ± 0.09 | 0.50 ± 0.07 | F = 11; | Wavelet transformation energy LL scale 5 | 57.44 ± 2.61 | 67.75 ± 1.52 | F = 462; | Wavelet transformation energy LL scale 6 | 56.12 ± 2.61 | 65.65 ± 1.86 | F = 309; |
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Lack of normal distribution. |