Source: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. Conference titles: Brazilian Congress of Stomatology and Oral Pathology. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, NEOPLASIAS BUCAIS, NEOPLASIAS DE CABEÇA E PESCOÇO, TECNOLOGIAS DA SAÚDE
ABNT
ARAUJO, Anna Luiza Damaceno et al. Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. New York: Elsevier. Disponível em: https://doi.org/10.1016/j.oooo.2023.03.068. Acesso em: 24 set. 2023. , 2023APA
Araujo, A. L. D., Souza, E. S. C. de, Faustino, I. S. P., Saldivia-Siracusa, C., Lopes, M. A., Carvalho, A. C. P. de L. F. de, & Santos-Silva, A. R. dos. (2023). Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. New York: Elsevier. doi:10.1016/j.oooo.2023.03.068NLM
Araujo ALD, Souza ESC de, Faustino ISP, Saldivia-Siracusa C, Lopes MA, Carvalho ACP de LF de, Santos-Silva AR dos. Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions [Internet]. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2023 ; 136( 1): e31-e32.[citado 2023 set. 24 ] Available from: https://doi.org/10.1016/j.oooo.2023.03.068Vancouver
Araujo ALD, Souza ESC de, Faustino ISP, Saldivia-Siracusa C, Lopes MA, Carvalho ACP de LF de, Santos-Silva AR dos. Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions [Internet]. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2023 ; 136( 1): e31-e32.[citado 2023 set. 24 ] Available from: https://doi.org/10.1016/j.oooo.2023.03.068