VASARI-auto: Equitable, efficient, and economical featurisation of glioma MRI

VASARI-auto: Equitable, efficient, and economical featurisation of glioma MRI

The VASARI MRI feature set is a quantitative system designed to standardise glioma imaging descriptions. Though effective, deriving VASARI is time-consuming and seldom used clinically. We sought to resolve this problem with software automation and machine learning. Using glioma data from 1172 patien...

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Bibliographic Details
Main Authors: James K. Ruffle, Samia Mohinta, Kelly Pegoretti Baruteau, Rebekah Rajiah, Faith Lee, Sebastian Brandner, Parashkev Nachev, Harpreet Hyare
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:NeuroImage: Clinical
Subjects:
Glioma
Deep learning
Artificial intelligence
VASARI
Decision support
Radiology
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158224001074
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http://www.sciencedirect.com/science/article/pii/S2213158224001074

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