From: Oral epithelial dysplasia detection and grading in oral leukoplakia using deep learning
 | Hyperplasia | Mild dysplasia | Moderate dysplasia | Severe dysplasia | Total | P |
---|---|---|---|---|---|---|
Number of slides | 16 | 21 | 12 | 7 | 56 | Â |
Sex | Â | Â | Â | Â | Â | 0.48 |
Male | 8 (50.0%) | 8 (38.1%) | 5 (41.7%) | 1 (14.3%) | 22 (39.3%) | Â |
Female | 8 (50.0%) | 13 (61.9%) | 7 (58.3%) | 6 (85.7%) | 34 (60.7%) | Â |
Age | 53.7 ± 13.4 | 57.7 ± 10.0 | 57.2 ± 13.8 | 61.7 ± 9.8 | 56.9 ± 11.8 | 0.56 |
Site | Â | Â | Â | Â | Â | 0.65 |
Buccal mucosa | 4 (25.0%) | 8 (38.1%) | 4 (33.3%) | 4 (57.1%) | 20 (35.7%) | Â |
Tongue | 8 (50.0%) | 11 (52.4%) | 8 (66.7%) | 3 (42.9%) | 30 (53.6%) | Â |
Gingiva | 3 (18.8%) | 2 (9.5%) | 0 (0.0%) | 0 (0.0%) | 5 (8.9%) | Â |
Floor of mouth | 1 (6.2%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (1.8%) | Â |