Mostrar el registro completo del ítem
Rodriguez Ortega, A.; Alegre, A.; Lago, V.; Carot Sierra, JM.; Ten-Esteve, A.; Montoliu, G.; Domingo, S.... (2021). Machine Learning-Based Integration of Prognostic Magnetic Resonance Imaging Biomarkers for Myometrial Invasion Stratification in Endometrial Cancer. Journal of Magnetic Resonance Imaging. 54(3):987-995. https://doi.org/10.1002/jmri.27625
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/186164
Título: | Machine Learning-Based Integration of Prognostic Magnetic Resonance Imaging Biomarkers for Myometrial Invasion Stratification in Endometrial Cancer | |
Autor: | Alegre, Alberto Lago, Victor Ten-Esteve, Amadeo Montoliu, Guillermina Domingo, Santiago Alberich-Bayarri, Angel Marti-Bonmati, Luis | |
Entidad UPV: |
|
|
Fecha difusión: |
|
|
Resumen: |
[EN] Background: Estimation of the depth of myometrial invasion (MI) in endometrial cancer is pivotal in the preoperatively
staging. Magnetic resonance (MR) reports suffer from human subjectivity. Multiparametric MR imaging ...[+]
|
|
Palabras clave: |
|
|
Derechos de uso: | Reserva de todos los derechos | |
Fuente: |
|
|
DOI: |
|
|
Editorial: |
|
|
Versión del editor: | https://doi.org/10.1002/jmri.27625 | |
Código del Proyecto: |
|
|
Agradecimientos: |
This study received funding from the Global Investigator Initiated Research Committee (GIIRC) research program by Bracco S.p.A (2015/0724). The funders had no role in study design, data collection and analysis and preparation ...[+]
|
|
Tipo: |
|