DFR-U-Net: Dual residual and feature fusion network for ulna and radius segmentation on dual-energy X-ray absorptiometry images.
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DOI: 10.3233/xst-230010
Abstract: BACKGROUND Ulna and radius segmentation of dual-energy X-ray absorptiometry (DXA) images is essential for measuring bone mineral density (BMD). OBJECTIVE To develop and test a novel deep learning network architecture for robust and efficient ulna… read more here.
Keywords: dfr net; radius segmentation; segmentation; deep learning ... See more keywords