Kurtosis is an MRI radiomics feature predictor of poor prognosis in patients with GBM (2021)
- Authors:
- USP affiliated authors: PAVONI, JULIANA FERNANDES - FFCLRP ; ARRUDA, GUSTAVO VIANI - FMRP ; BORGES, PEDRO HENRIQUE DE MARCO - FFCLRP ; LIZAR, JÉSSICA CAROLINE - FFCLRP ; FAUSTINO, ALEXANDRE CIUFFI CORRÊA - FMRP
- Unidades: FFCLRP; FMRP
- DOI: 10.1007/s13538-021-00912-9
- Subjects: GLIOMA; NEOPLASIAS CEREBRAIS; RESSONÂNCIA MAGNÉTICA; APRENDIZADO COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Brazilian Journal of Physics
- ISSN: 0103-9733
- Volume/Número/Paginação/Ano: v. 51, p. 1035-1042, 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BORGES, Pedro Henrique de Marco et al. Kurtosis is an MRI radiomics feature predictor of poor prognosis in patients with GBM. Brazilian Journal of Physics, v. 51, p. 1035-1042, 2021Tradução . . Disponível em: https://doi.org/10.1007/s13538-021-00912-9. Acesso em: 11 jun. 2024. -
APA
Borges, P. H. de M., Lizar, J. C., Faustino, A. C. C., Arruda, G. V., & Pavoni, J. F. (2021). Kurtosis is an MRI radiomics feature predictor of poor prognosis in patients with GBM. Brazilian Journal of Physics, 51, 1035-1042. doi:10.1007/s13538-021-00912-9 -
NLM
Borges PH de M, Lizar JC, Faustino ACC, Arruda GV, Pavoni JF. Kurtosis is an MRI radiomics feature predictor of poor prognosis in patients with GBM [Internet]. Brazilian Journal of Physics. 2021 ; 51 1035-1042.[citado 2024 jun. 11 ] Available from: https://doi.org/10.1007/s13538-021-00912-9 -
Vancouver
Borges PH de M, Lizar JC, Faustino ACC, Arruda GV, Pavoni JF. Kurtosis is an MRI radiomics feature predictor of poor prognosis in patients with GBM [Internet]. Brazilian Journal of Physics. 2021 ; 51 1035-1042.[citado 2024 jun. 11 ] Available from: https://doi.org/10.1007/s13538-021-00912-9 - Tridimensional dose evaluation of the respiratory motion influence on breast radiotherapy treatments using conformal radiotherapy, forward IMRT, and inverse IMRT planning techniques
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Informações sobre o DOI: 10.1007/s13538-021-00912-9 (Fonte: oaDOI API)
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