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http://hdl.handle.net/10397/107833
Title: | A structure-affinity dual attention-based network to segment spine for scoliosis assessment | Authors: | Xie, H Huang, Z Leung, FHF Ju, Y Zheng, YP Ling, SH |
Issue Date: | 2023 | Source: | Proceedings : 2023 IEEE International Conference on Bioinformatics and Biomedicine, December 5-8, 2023, Istanbul & Turkey, p. 1567-1574 | Abstract: | Ultrasound volume projection imaging has shown great promise to visualize spine features and diagnose scoliosis thanks to its harmlessness, cheapness, and efficiency. The key to measuring spine deformity and assessing scoliosis is to accurately segment the spine bone features. In this paper, we propose a novel structure-affinity dual attention-based network (SADANet) for effective spine segmentation. Global channel attention module and spatial criss-cross attention module are combined in a parallel manner to generate rich global context of spine images. Meanwhile, we present a structure-affinity strategy to encode the structural knowledge of spine bones into the semantic representations. By this means, the network can capture both contextual and structural information. Experiments show that our proposed algorithm achieves promising performance on spine segmentation as compared with other state-of-the-art candidates, which makes it an appealing approach for intelligent scoliosis assessment. | Keywords: | Intelligent scoliosis diagnosis Spine Segmentation Structure-Affinity Dual Attention Ultrasound volume Projection Imaging |
Publisher: | Institute of Electrical and Electronics Engineers | ISBN: | 979-835033748-8 | DOI: | 10.1109/BIBM58861.2023.10385419 | Rights: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication H. Xie, Z. Huang, F. H. F. Leung, Y. Ju, Y. -P. Zheng and S. H. Ling, "A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis Assessment," 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkiye, 2023, pp. 1567-1574 is available at https://doi.org/10.1109/BIBM58861.2023.10385419. |
Appears in Collections: | Conference Paper |
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Xie_Structure-affinity_Dual_Attention-based.pdf | Pre-Published version | 2.33 MB | Adobe PDF | View/Open |
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