LumNet: A Deep Neural Network for Lumbar Paraspinal Muscles Segmentation

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	LumNet: A Deep Neural Network for Lumbar Paraspinal Muscles Segmentation
	Zhang YD(张英迪)1,2,3; Shi ZL(史泽林)3 ; Wang, Huan ; Yan, Chongnan ; Wang, Lanbo ; Mu, Yueming ; Liu YP(刘云鹏)3 ; Wu SH(邬抒航)3; Liu TC(刘天赐 3
	2019
会议日期	December 2-5, 2019
会议地点	Adelaide, SA, Australia
关键词	Convolutional neural networks attention mechanism lumber paraspinal muscles segmentation attention mechanism
页码	574-585
英文摘要	Lumber paraspinal muscles (LPM) segmentation is of essential importance in predicting response to treatment of low back pain. To date, all LPM segmentation methods are manually based instead of automatic. Manual segmentation of LPM requires vast radiological knowledge and experience. Moreover, the manual segmentation usually induces subjective variance. Therefore, an automatic segmentation is desireable. It is challenging to achieve automatic segmentation mainly because the ambiguous boundary of the LPM can be very difficult to locate. In this paper, we present a novel encoder-decoder and attention based deep convolutional neural network (CNN) to address this problem. With the help of skip connections, the encoder-decoder structure can capture both shadow and deep features which represent local and global information. Pre-trained VGG11 in ImageNet performed as encoder. In the decoder part, an attention block is applied to recalibrate the input feature. With the help of attention block, meaningful features are highlighted while irrelevant features are suppressed. To fully evaluate the performance of our proposed network, we construct the first large-scale LPM segmentation dataset with 1080 images and its segmentation masks. Experimental results show that our proposed network can not only achieve a good LPM segmentation result with a high dice score of 0.94 but also outperforms other state-of-the-art segmentation methods.
产权排序	1
会议录	AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, 2019, Proceedings
会议录出版者	Springer
会议录出版地	Berlin
语种	英语
ISSN号	0302-9743
ISBN号	978-3-030-35287-5
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/26061]
专题	沈阳自动化研究所_光电信息技术研究室
通讯作者	Zhang YD(张英迪)
作者单位	1.Spine Surgery Department, Shengjing Hospital, Shenyang, China 2.The Key Lab of Image Understanding and Computer Vision, Shenyang, China; 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Beijing, China; Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Key Lab of Opto-Electronic Information Process, Shenyang, China;
推荐引用方式 GB/T 7714	Zhang YD,Shi ZL,Wang, Huan,et al. LumNet: A Deep Neural Network for Lumbar Paraspinal Muscles Segmentation[C]. 见:. Adelaide, SA, Australia. December 2-5, 2019.