Toward accurate polyp segmentation with cascade boundary-guided attention | |
Lai, Huilin4; Luo Y(罗烨)3,4; Zhang, Guokai2; Shen, Xiaoang4; Li, Bo4; Lu, Jianwei1,4,5 | |
刊名 | Visual Computer |
2022 | |
页码 | 1-17 |
关键词 | Polyp segmentation Colonoscopy image Boundary Attention Neural network |
ISSN号 | 0178-2789 |
产权排序 | 2 |
英文摘要 | In clinical practice, accurate polyp segmentation provides important information for the early detection of colorectal cancer. Benefiting from the advancement of deep learning techniques, various neural networks have been developed for polyp segmentation. However, most state-of-the-art methods have suffered from the challenge of precisely segmenting polyps with clear boundaries. To tackle this challenge, in this paper, we propose a novel and effective cascade boundary-guided attention network based on an encoder–decoder framework. Specifically, instead of just using the addition of shallow and deep features, the fine-grained boundary information is explicitly introduced into the skip connection of encoder and decoder layers to achieve accurate polyp segmentation. Moreover, the cascade refinement strategy is utilized into the multi-stage enhancement of boundary features to progressively produce better predictions. Extensive evaluations on five public benchmark datasets show that our method outperforms state-of-the-arts on various polyp segmentation tasks. Further experiments conducted on the cross-dataset (training on one dataset and testing on another dataset) validate the generalization ability of the proposed method. |
资助项目 | National Natural Science Foundation of China (NSFC)[61806147] ; National Natural Science Foundation of China (NSFC)[62102259] ; Shanghai Sailing Program[21YF1431600] ; StateKey Laboratory of Robotics[2019O15] |
WOS关键词 | MULTISCALE |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000759383200002 |
资助机构 | General Program of National Natural Science Foundation of China (NSFC) (Grant No. 61806147) ; Shanghai Sailing Program (21YF1431600) ; General Program of National Natural Science Foundation of China (NSFC) (Grant No. 62102259) ; StateKey Laboratory ofRobotics (2019-O15). |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/30521] |
专题 | 沈阳自动化研究所_其他 |
通讯作者 | Luo Y(罗烨); Lu, Jianwei |
作者单位 | 1.College of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China 2.School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China 3.State key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 4.School of Software Engineering, Tongji University, Shanghai 200092, China 5.Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai 201203, China |
推荐引用方式 GB/T 7714 | Lai, Huilin,Luo Y,Zhang, Guokai,et al. Toward accurate polyp segmentation with cascade boundary-guided attention[J]. Visual Computer,2022:1-17. |
APA | Lai, Huilin,Luo Y,Zhang, Guokai,Shen, Xiaoang,Li, Bo,&Lu, Jianwei.(2022).Toward accurate polyp segmentation with cascade boundary-guided attention.Visual Computer,1-17. |
MLA | Lai, Huilin,et al."Toward accurate polyp segmentation with cascade boundary-guided attention".Visual Computer (2022):1-17. |
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