High-accuracy detection of supraspinatus fatty infiltration in shoulder MRI using convolutional neural network algorithms

High-accuracy detection of supraspinatus fatty infiltration in shoulder MRI using convolutional neural network algorithms

BackgroundThe supraspinatus muscle fatty infiltration (SMFI) is a crucial MRI shoulder finding to determine the patient’s prognosis. Clinicians have used the Goutallier classification to diagnose it. Deep learning algorithms have been demonstrated to have higher accuracy than traditional methods.Aim...

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Bibliographic Details
Main Authors: Juan Pablo Saavedra, Guillermo Droppelmann, Nicolás García, Carlos Jorquera, Felipe Feijoo
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Medicine
Subjects:
classification
deep learning
fatty infiltration
MRI
supraspinatus
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1070499/full

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https://www.frontiersin.org/articles/10.3389/fmed.2023.1070499/full

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