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Insights into Imaging
Fig. 2 | Insights into Imaging

Fig. 2

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

Fig. 2

Framework of the deep-learning-based segmentation and classification models. The 2.5D-AttentionUnet segmentation model was developed by combining two- and three-dimensional convolution. The automatic classification model was developed with the assistance of the segmentation results. axSpA axial spondyloarthritis; non-axSpA non-axial spondyloarthritis; ROI region of interest

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