From: Automatic screening of cervical cells using block image processing
Features | Feature index | Quantitative variables | Mean ± SD | |
---|---|---|---|---|
Normal (1000) | Suspicious (100) | |||
(a) Mean and standard deviation of 11 variants of the training blocks, 1000 normal and 100 abnormal blocks | ||||
LBP-59 | 1 | SD | 0.1188 ± 0.0171 | 0.0667 ± 0.0114 |
2 | p-59 | 0.0433 ± 0.0151 | 0.0972 ± 0.0151 | |
Co-occurrence matrix | 3 | Energy | 3.2022 ± 0.2686 | 1.8384 ± 0.4516 |
4 | Correlation | 1.1577 ± 0.3154 | 0.2364 ± 0.0819 | |
5 | Contrast | 0.2087 ± 0.2672 | 0.9914 ± 0.5541 | |
Statistical color histogram | 6 | Variance | 35.1542 ± 8.8674 | 18.3092 ± 6.9413 |
7 | Skewness | 0.0165 ± 0.0059 | 0.0036 ± 0.0032 | |
8 | Energy | 0.0160 ± 0.0061 | 0.0316 ± 0.0102 | |
9 | Entropy | 6.6615 ± 0.4136 | 5.3643 ± 0.5084 | |
Ratio | 10 | R1 | 0.1953 ± 0.2102 | 0.7687 ± 0.1806 |
11 | R4 | 0.2356 ± 0.1288 | 0.5862 ± 0.1063 |
Feature index | Quantitative variables | Mean ± SD | |
---|---|---|---|
Normal (1000) | Suspicious (100) | ||
(b) Normalized mean and standard deviation of 11 variants of the training blocks, 1000 normal and 100 abnormal blocks | |||
1 | SD | 0.6659 ± 0.1632 | 0.1691 ± 0.1089 |
2 | p-59 | 0.2441 ± 0.1457 | 0.7632 ± 0.1452 |
3 | Energy | 0.8435 ± 0.1096 | 0.2869 ± 0.1843 |
4 | Correlation | 0.5754 ± 0.1798 | 0.0502 ± 0.0467 |
5 | Contrast | 0.0274 ± 0.0200 | 0.3878 ± 0.2913 |
6 | Variance | 0.7672 ± 0.1371 | 0.2210 ± 0.1603 |
7 | Skewness | 0.5572 ± 0.1996 | 0.1075 ± 0.1088 |
8 | Energy | 0.0509 ± 0.0542 | 0.4057 ± 0.2552 |
9 | Entropy | 0.8540 ± 0.1004 | 0.4024 ± 0.2176 |
10 | R1 | 0.1393 ± 0.1353 | 0.7013 ± 0.2397 |
11 | R4 | 0.2221 ± 0.1909 | 0.7510 ± 0.2851 |