Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging

Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging

Abstract Background Currently, magnetic resonance imaging (MRI) is used to evaluate active inflammatory sacroiliitis related to axial spondyloarthritis (axSpA). The qualitative and semiquantitative diagnosis performed by expert radiologists and rheumatologists remains subject to significant intraper...

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Bibliographic Details
Main Authors: Matheus Calil Faleiros, Marcello Henrique Nogueira-Barbosa, Vitor Faeda Dalto, José Raniery Ferreira Júnior, Ariane Priscilla Magalhães Tenório, Rodrigo Luppino-Assad, Paulo Louzada-Junior, Rangaraj Mandayam Rangayyan, Paulo Mazzoncini de Azevedo-Marques
Format: Article
Language:English
Published: BMC 2020-05-01
Series:Advances in Rheumatology
Subjects:
Magnetic resonance imaging
Sacroiliac joint inflammation
Spondyloarthritis
Machine learning
Artificial intelligence
Computer-assisted diagnosis
Online Access:http://link.springer.com/article/10.1186/s42358-020-00126-8

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http://link.springer.com/article/10.1186/s42358-020-00126-8

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