Source: Computers in Biology and Medicine. Unidades: FMRP, FFCLRP
Subjects: RESSONÂNCIA MAGNÉTICA, ADENOMA, GLÂNDULA PITUITÁRIA, RECIDIVA LOCAL DE NEOPLASIA, APRENDIZADO COMPUTACIONAL
ABNT
MACHADO, Leonardo Ferreira et al. MRI radiomics for the prediction of recurrence in patients with clinically non-functioning pituitary macroadenomas. Computers in Biology and Medicine, v. 124, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2020.103966. Acesso em: 08 out. 2024.APA
Machado, L. F., Elias, P. C. L., Moreira, A. C., Santos, A. C. dos, & Murta Júnior, L. O. (2020). MRI radiomics for the prediction of recurrence in patients with clinically non-functioning pituitary macroadenomas. Computers in Biology and Medicine, 124. doi:10.1016/j.compbiomed.2020.103966NLM
Machado LF, Elias PCL, Moreira AC, Santos AC dos, Murta Júnior LO. MRI radiomics for the prediction of recurrence in patients with clinically non-functioning pituitary macroadenomas [Internet]. Computers in Biology and Medicine. 2020 ; 124[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.compbiomed.2020.103966Vancouver
Machado LF, Elias PCL, Moreira AC, Santos AC dos, Murta Júnior LO. MRI radiomics for the prediction of recurrence in patients with clinically non-functioning pituitary macroadenomas [Internet]. Computers in Biology and Medicine. 2020 ; 124[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.compbiomed.2020.103966