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 featureReference mucosaLeukoplakia lesionANOVA

Long run emphasis inverse moments9.70 ± 15.3813.93 ± 8.90F = 1.99;
Short run emphasis inverse moments0.64 ± 0.140.56 ± 0.08F = 10;
Entropy1.73 ± 0.121.62 ± 0.10F = 16;
Difference entropy0.56 ± 0.090.50 ± 0.07F = 11;
Wavelet transformation energy LL scale 557.44 ± 2.6167.75 ± 1.52F = 462;
Wavelet transformation energy LL scale 656.12 ± 2.6165.65 ± 1.86F = 309;

Lack of normal distribution.