Automatic segmentation of fat metaplasia on sacroiliac joint MRI using deep learning

Automatic segmentation of fat metaplasia on sacroiliac joint MRI using deep learning

Abstract Objective To develop a deep learning (DL) model for segmenting fat metaplasia (FM) on sacroiliac joint (SIJ) MRI and further develop a DL model for classifying axial spondyloarthritis (axSpA) and non-axSpA. Materials and methods This study retrospectively collected 706 patients with FM who...

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Bibliographic Details
Main Authors: Xin Li, Yi Lin, Zhuoyao Xie, Zixiao Lu, Liwen Song, Qiang Ye, Menghong Wang, Xiao Fang, Yi He, Hao Chen, Yinghua Zhao
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Insights into Imaging
Subjects:
Axial spondyloarthritis
Deep learning
Fat metaplasia
Magnetic resonance image
Sacroiliac joint
Online Access:https://doi.org/10.1186/s13244-024-01659-y

Internet

https://doi.org/10.1186/s13244-024-01659-y

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