Source: Journal of oral pathology & medicine. Unidade: FM
Subjects: PATOLOGIA BUCAL, LESÕES CANCERIZÁVEIS, FATORES DE RISCO, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL
ABNT
SOUZA, Lucas Lacerda de et al. Machine learning for detection and classification of oral potentially malignant disorders: a conceptual review. Journal of oral pathology & medicine, v. 52, n. 3, p. 197-205, 2023Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/52819. Acesso em: 03 maio 2024.APA
Souza, L. L. de, Fonseca, F. P., Araujo, A. L. D., Lopes, M. A., Vargas, P. A., Khurram, S. A., et al. (2023). Machine learning for detection and classification of oral potentially malignant disorders: a conceptual review. Journal of oral pathology & medicine, 52( 3), 197-205. doi:10.1111/jop.13414NLM
Souza LL de, Fonseca FP, Araujo ALD, Lopes MA, Vargas PA, Khurram SA, Kowalski LP, Santos HT dos, Warnakulasuriya S, Dolezal J. Machine learning for detection and classification of oral potentially malignant disorders: a conceptual review [Internet]. Journal of oral pathology & medicine. 2023 ; 52( 3): 197-205.[citado 2024 maio 03 ] Available from: https://observatorio.fm.usp.br/handle/OPI/52819Vancouver
Souza LL de, Fonseca FP, Araujo ALD, Lopes MA, Vargas PA, Khurram SA, Kowalski LP, Santos HT dos, Warnakulasuriya S, Dolezal J. Machine learning for detection and classification of oral potentially malignant disorders: a conceptual review [Internet]. Journal of oral pathology & medicine. 2023 ; 52( 3): 197-205.[citado 2024 maio 03 ] Available from: https://observatorio.fm.usp.br/handle/OPI/52819