Subjects: BIOFÍSICA, TEXTURA, RESSONÂNCIA MAGNÉTICA, APRENDIZADO COMPUTACIONAL
ABNT
MACHADO, Leonardo Ferreira. Magnetic resonance imaging texture analysis in the prediction of tumor recurrence in patients with non-functioning pituitary adenomas. 2017. Dissertação (Mestrado) – Universidade de São Paulo, Ribeirão Preto, 2017. Disponível em: http://www.teses.usp.br/teses/disponiveis/59/59135/tde-11052018-110513/. Acesso em: 11 out. 2024.APA
Machado, L. F. (2017). Magnetic resonance imaging texture analysis in the prediction of tumor recurrence in patients with non-functioning pituitary adenomas (Dissertação (Mestrado). Universidade de São Paulo, Ribeirão Preto. Recuperado de http://www.teses.usp.br/teses/disponiveis/59/59135/tde-11052018-110513/NLM
Machado LF. Magnetic resonance imaging texture analysis in the prediction of tumor recurrence in patients with non-functioning pituitary adenomas [Internet]. 2017 ;[citado 2024 out. 11 ] Available from: http://www.teses.usp.br/teses/disponiveis/59/59135/tde-11052018-110513/Vancouver
Machado LF. Magnetic resonance imaging texture analysis in the prediction of tumor recurrence in patients with non-functioning pituitary adenomas [Internet]. 2017 ;[citado 2024 out. 11 ] Available from: http://www.teses.usp.br/teses/disponiveis/59/59135/tde-11052018-110513/