Assessing the utility of low resolution brain imaging: treatment of infant hydrocephalus

Assessing the utility of low resolution brain imaging: treatment of infant hydrocephalus

As low-field MRI technology is being disseminated into clinical settings around the world, it is important to assess the image quality required to properly diagnose and treat a given disease and evaluate the role of machine learning algorithms, such as deep learning, in the enhancement of lower qual...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Joshua R. Harper, Venkateswararao Cherukuri, Tom O’Reilly, Mingzhao Yu, Edith Mbabazi-Kabachelor, Ronald Mulando, Kevin N. Sheth, Andrew G. Webb, Benjamin C. Warf, Abhaya V. Kulkarni, Vishal Monga, Steven J. Schiff
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Low field MRI
Image quality
Deep learning
Risk assessment
Hydrocephalus treatment planning
Computer applications to medicine. Medical informatics
R858-859.7
Neurology. Diseases of the nervous system
RC346-429
Acceso en línea:https://doaj.org/article/7bee984ac6794442a7c5a4c0b4bfc7c0
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://doaj.org/article/7bee984ac6794442a7c5a4c0b4bfc7c0

Ejemplares similares