Automatic magnetic resonance imaging series labelling for large repositories

Automatic magnetic resonance imaging series labelling for large repositories

Abstract Large medical image repositories present challenges related to unstructured data. A data enrichment process allows the storage of additional information for fast identification of the content and properties of medical imaging studies. The aim of this study is to develop a metadata enrichmen...

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Main Authors: Armando Gomis-Maya, Leonor Cerdá-Alberich, Diana Veiga-Canuto, Salvatore Claudio-Fanni, Amadeo Ten-Steve, Gloria Ribas-Despuig, Pedro José Mallol-Roselló, Joan Vila-Frances, Luis Marti-Bonmati
Format: Article
Language:English
Published: SpringerOpen 2025-02-01
Series:Journal of Big Data
Subjects:
Magnetic resonance
Categorization
Weighting identification
Medical imaging
Data mining
Radiology
Online Access:https://doi.org/10.1186/s40537-025-01086-w
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https://doi.org/10.1186/s40537-025-01086-w

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