@inproceedings{70679368f8714d5d8d208e3b3901a585,
title = "A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis Assessment",
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",
author = "Hao Xie and Zixun Huang and Leung, {Frank H.F.} and Yakun Ju and Zheng, {Yong Ping} and Ling, {Sai Ho}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023 ; Conference date: 05-12-2023 Through 08-12-2023",
year = "2023",
month = dec,
doi = "10.1109/BIBM58861.2023.10385419",
language = "English",
series = "Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1567--1574",
editor = "Xingpeng Jiang and Haiying Wang and Reda Alhajj and Xiaohua Hu and Felix Engel and Mufti Mahmud and Nadia Pisanti and Xuefeng Cui and Hong Song",
booktitle = "Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023",
}