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...

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Bibliographic Details
Main Authors: 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
Format: article
Language:EN
Published: Elsevier 2021
Subjects:
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
Online Access:https://doaj.org/article/7bee984ac6794442a7c5a4c0b4bfc7c0
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https://doaj.org/article/7bee984ac6794442a7c5a4c0b4bfc7c0

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