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题名: A computer-aided lesion diagnose method based on gastroscopeimage
作者: Liang, Pan ; Cong Y(丛杨) ; Guan, Mo
作者部门: 机器人学研究室
会议名称: 2012 IEEE International Conference on Information and Automation, ICIA 2012
会议日期: June 6, 2012 - June 8, 2012
会议地点: Shenyang, China
会议录: 2012 IEEE International Conference on Information and Automation, ICIA 2012
会议录出版者: IEEE Computer Society
会议录出版地: Washington, DC
出版日期: 2012
页码: 871-875
收录类别: CPCI(ISTP) ; EI
ISBN号: 978-1467322386
关键词: Computer aided diagnosis ; Feature extraction
摘要: It is time-consuming and exhausting for clinicians to make gastrointestinal disease diagnosis by gastroscope images (GI) with naked eye. However, method use GI as data source to make computer aided diagnosis does not exist at present. In this paper, we discussed a computer aided method for GI, which can be divided into two parts: First, take samples in images which were labeled by clinicians, and extract RG, OPPO, HUE color histogram, and LBP texture in these samples, then use SVM classifier to make classification, the classification accuracy of the above characteristics are given respectively. Second, the detecting images should be divided into little patch, for each patch use features mentioned above and SVM classifier to make classification, then, get the position of the diseased areas. Finally, through experiments shows the effectiveness of the method, and give its diagnostic accuracy rate. © 2012 IEEE.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/9860
Appears in Collections:机器人学研究室_会议论文

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