Souza, Lucas Lacerda de; Fonseca, Felipe Paiva; Araujo, Anna Luiza Damaceno; Lopes, Marcio Ajudarte; Vargas, Pablo Agustin; Khurram, Syed Ali; Kowalski, Luiz Paulo 
; Santos, Harim Tavares dos; Warnakulasuriya, Saman; Dolezal, James
Source: Journal of oral pathology & medicine. Unidade: FM
Subjects: PATOLOGIA BUCAL, LESÕES CANCERIZÁVEIS, FATORES DE RISCO, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL
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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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://observatorio.fm.usp.br/handle/OPI/52819
