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2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献

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Polarization Characterization and Evaluation of Healing Process of the Damaged-skin Applied with Chitosan and Silicone Hydrogel Applicator 壳聚糖与硅酮水凝胶涂抹剂对损伤皮肤愈合过程的极化表征及评价
Yirong Liu, Weizheng Sun, Hong-bing He, Ilui Ma, Jian Wu
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引用次数: 1
Evaluation of Flight Test Data Quality Based on Rough Set Theory 基于粗糙集理论的飞行试验数据质量评价
Xiangwei Kong
{"title":"Evaluation of Flight Test Data Quality Based on Rough Set Theory","authors":"Xiangwei Kong","doi":"10.1109/CISP-BMEI51763.2020.9263667","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263667","url":null,"abstract":"","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"34 1","pages":"1053-1057"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77435381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Radar Emitter Type Identification Effect Based On Different Structural Deep Feedforward Networks 基于不同结构深度前馈网络的雷达辐射源类型识别效果
Hongyan Wang, Qui Jin, Juan Pu
{"title":"Radar Emitter Type Identification Effect Based On Different Structural Deep Feedforward Networks","authors":"Hongyan Wang, Qui Jin, Juan Pu","doi":"10.1109/CISP-BMEI51763.2020.9263549","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263549","url":null,"abstract":"","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"21 1","pages":"473-478"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81660079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design and Implementation of OpenDayLight Manager Application OpenDayLight管理器的设计与实现
Xiaohua Yu, Canhui Huang
{"title":"Design and Implementation of OpenDayLight Manager Application","authors":"Xiaohua Yu, Canhui Huang","doi":"10.1109/CISP-BMEI51763.2020.9263553","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263553","url":null,"abstract":"","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"85 1","pages":"977-982"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75789664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of FP_Growth Algorithm of Sequential Pattern Mining on Container Maintenance Components Association 顺序模式挖掘FP_Growth算法在容器维护组件关联中的应用
Xizhu Ling, Fei Yu, Yiwang Jing
{"title":"Application of FP_Growth Algorithm of Sequential Pattern Mining on Container Maintenance Components Association","authors":"Xizhu Ling, Fei Yu, Yiwang Jing","doi":"10.1109/CISP-BMEI51763.2020.9263649","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263649","url":null,"abstract":"","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"1 1","pages":"1026-1031"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85000171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Extraction of cutting plans in craniosynostosis using convolutional neural networks 基于卷积神经网络的颅缝闭锁切口方案提取
Jiabin He, Yangyu Luo, Jian Gong
{"title":"Extraction of cutting plans in craniosynostosis using convolutional neural networks","authors":"Jiabin He, Yangyu Luo, Jian Gong","doi":"10.1109/CISP-BMEI51763.2020.9263523","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263523","url":null,"abstract":"","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"7 1","pages":"846-851"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77089778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automatic Detection and Segmentation of Lung Nodule on CT Images CT图像上肺结节的自动检测与分割
Chun-Shui Yang, Yuanvuan Wang, Yi Guo
Lung nodule detection and segmentation is important for clinical diagnosis. This paper proposes a lung nodule detection and segmentation method based on a fully convolutional network (FCN), the level set method and other image processing techniques. Firstly, lung CT images are put into the FCN for lung segmentation. Secondly, lung nodules are detected inside the lung area using the threshold method and other image processing techniques. Finally, the detected lung nodules and their spiculation are segmented by the level set method and threshold method based on the coordinate system transformation. Experimental result shows that the proposed method can effectively detect and segment lung nodules with the detection accuracy of 100% and the dice overlap index of segmentation of 0.9. Therefore, this method can provide helpful references for clinical diagnosis on lung cancers.
{"title":"Automatic Detection and Segmentation of Lung Nodule on CT Images","authors":"Chun-Shui Yang, Yuanvuan Wang, Yi Guo","doi":"10.1109/CISP-BMEI.2018.8633101","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633101","url":null,"abstract":"Lung nodule detection and segmentation is important for clinical diagnosis. This paper proposes a lung nodule detection and segmentation method based on a fully convolutional network (FCN), the level set method and other image processing techniques. Firstly, lung CT images are put into the FCN for lung segmentation. Secondly, lung nodules are detected inside the lung area using the threshold method and other image processing techniques. Finally, the detected lung nodules and their spiculation are segmented by the level set method and threshold method based on the coordinate system transformation. Experimental result shows that the proposed method can effectively detect and segment lung nodules with the detection accuracy of 100% and the dice overlap index of segmentation of 0.9. Therefore, this method can provide helpful references for clinical diagnosis on lung cancers.","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"46 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74965627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Study on Scrolling Display Method for Submarine Geomorphologic Map 海底地形图滚动显示方法研究
Tianyang Liu, Weiming Xu
{"title":"Study on Scrolling Display Method for Submarine Geomorphologic Map","authors":"Tianyang Liu, Weiming Xu","doi":"10.1109/CISP-BMEI.2018.8633080","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633080","url":null,"abstract":"","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"62 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75863494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automated Segmentation Based on Residual U-Net Model for MR Prostate Images 基于残差U-Net模型的前列腺磁共振图像自动分割
Xiangxiang Qin, Y. Zhu, Bingbing Zheng
{"title":"Automated Segmentation Based on Residual U-Net Model for MR Prostate Images","authors":"Xiangxiang Qin, Y. Zhu, Bingbing Zheng","doi":"10.1109/CISP-BMEI.2018.8633233","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633233","url":null,"abstract":"","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87918083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Membrane-Fireworks Algorithm for Multi-Objective Optimization Problems 多目标优化问题的膜-烟花算法
Taowei Chen, Yiming Yu, Kun Zhao, Duan Zhengtai
{"title":"A Membrane-Fireworks Algorithm for Multi-Objective Optimization Problems","authors":"Taowei Chen, Yiming Yu, Kun Zhao, Duan Zhengtai","doi":"10.1109/CISP-BMEI.2018.8633082","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633082","url":null,"abstract":"","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"19 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86024678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
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