Table 1 Taxonomy of oral ulcer in different locations affected in the mouth.
From: Neural network models for diagnosing recurrent aphthous ulcerations from clinical oral images
Work | Buccal mucosa | Tongue | Gums | Soft palate | Hard palate | Floor of mouth | Lower up | Retromolar trigone | Lips | Cheeks | Tonsil | Labial mucosa |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Oral potentially malignant disorders (OPMD) [15] | ✓ | ✓ | ✓ | ✓ | ||||||||
Mouth and oral disease (MOD) [16] | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||
Oral ulcerative lesions in COVID-19 patients [17] | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||
Oral ulcers in children [18] | ✓ | ✓ | ✓ | ✓ | ||||||||
Artificial intelligence’s use of mouth ulcers [19] | ✓ | ✓ | ✓ | ✓ | ||||||||
Identification of oral precancerous and normal mucosa [20] | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||
Classification of elementary oral lesions [21] | ✓ | ✓ | ✓ | |||||||||
Non-invasive primary screening of oral lesions [22] | ✓ | ✓ | ✓ | ✓ | ||||||||
Characteristics of recurrent aphthous stomatitis in a targeted demographic[23] | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||
Classification on oral ulcer images with residual network [24] | ✓ | ✓ | ✓ | ✓ | ||||||||
Proposed work | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
