Cargando…
Automated Modular Magnetic Resonance Imaging Clinical Decision Support System (MIROR): An Application in Pediatric Cancer Diagnosis
BACKGROUND: Advances in magnetic resonance imaging and the introduction of clinical decision support systems has underlined the need for an analysis tool to extract and analyze relevant information from magnetic resonance imaging data to aid decision making, prevent errors, and enhance health care....
Autores principales: | Zarinabad, Niloufar, Meeus, Emma M, Manias, Karen, Foster, Katharine, Peet, Andrew |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956158/ https://www.ncbi.nlm.nih.gov/pubmed/29720361 http://dx.doi.org/10.2196/medinform.9171 |
Ejemplares similares
-
Multiclass imbalance learning: Improving classification of pediatric brain tumors from magnetic resonance spectroscopy
por: Zarinabad, Niloufar, et al.
Publicado: (2016) -
Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors
por: Meeus, Emma M., et al.
Publicado: (2017) -
Evaluation of the added value of (1)H-magnetic resonance spectroscopy for the diagnosis of pediatric brain lesions in clinical practice
por: Manias, Karen, et al.
Publicado: (2018) -
A Device for Children’s Instrumental Creativity and Learning: An Overview of the MIROR Platform
por: Addessi, Anna Rita
Publicado: (2020) -
Evaluation of intravoxel incoherent motion fitting methods in low‐perfused tissue
por: Meeus, Emma M., et al.
Publicado: (2016)