Source: Ieee access. Unidade: FM
Subjects: NEOPLASIAS MAMÁRIAS, MAMOGRAFIA, INTELIGÊNCIA ARTIFICIAL
ABNT
PETRINI, Daniel G. P. et al. Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network. Ieee access, v. 10, p. 77723-77731, 2022Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2022.3193250. Acesso em: 09 maio 2024.APA
Petrini, D. G. P., Shimizu, C., Roela, R. A., Valente, G. V., Folgueira, M. A. A. K., & Kim, H. Y. (2022). Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network. Ieee access, 10, 77723-77731. doi:10.1109/ACCESS.2022.3193250NLM
Petrini DGP, Shimizu C, Roela RA, Valente GV, Folgueira MAAK, Kim HY. Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network [Internet]. Ieee access. 2022 ; 10 77723-77731.[citado 2024 maio 09 ] Available from: https://doi.org/10.1109/ACCESS.2022.3193250Vancouver
Petrini DGP, Shimizu C, Roela RA, Valente GV, Folgueira MAAK, Kim HY. Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network [Internet]. Ieee access. 2022 ; 10 77723-77731.[citado 2024 maio 09 ] Available from: https://doi.org/10.1109/ACCESS.2022.3193250