Deep sparse feature selection for computer aided endoscopy diagnosis
文献类型：期刊论文
| 作者 | Cong Y(丛杨) ; Wang S(王帅); Liu J(刘霁); Cao, Jun; Yang YS(杨云生); Luo JB(罗杰波)
|
| 刊名 | Pattern Recognition
 |
| 出版日期 | 2015 |
| 卷号 | 48期号:3页码:907-917 |
| 关键词 | Endoscopy Feature extraction |
| ISSN号 | 00313203 |
| 产权排序 | 1 |
| 通讯作者 | 丛杨 |
| 中文摘要 | In this paper, we develop a computer aided diagnosis algorithm to detect and classify the abnormalities in vision-based endoscopic examination. We focus on analyzing the traditional gastroscope data and help the medical experts improve the accuracy of medical diagnosis with our analysis tool. To achieve this, we first segment the image into superpixels, then extract various color and texture features from them and combine the features into one feature vector to represent the images. This approach is more flexible and accurate than the traditional patch-based image representation. Then we design a novel feature selection model with group sparsity, Deep Sparse SVM (DSSVM) that not only can assign a suitable weight to the feature dimensions like the other traditional feature selection models, but also directly exclude useless features from the feature pool. Thus, our DSSVM model can maintain the accuracy while reducing the computation complexity. Moreover, the image quality is also pre-assessed. For the experiments, we build a new gastroscope dataset with a total of about 3800 images from 1284 volunteers, and conducted various experiments and comparisons with other algorithms to justify the effectiveness and efficiency of our algorithm. |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000347747000024 |
| 公开日期 | 2014-11-29 |
| 源URL | [http://ir.sia.cn/handle/173321/15278]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Cong Y,Wang S,Liu J,et al. Deep sparse feature selection for computer aided endoscopy diagnosis[J]. Pattern Recognition,2015,48(3):907-917. |
| APA | Cong Y,Wang S,Liu J,Cao, Jun,Yang YS,&Luo JB.(2015).Deep sparse feature selection for computer aided endoscopy diagnosis.Pattern Recognition,48(3),907-917. |
| MLA | Cong Y,et al."Deep sparse feature selection for computer aided endoscopy diagnosis".Pattern Recognition 48.3(2015):907-917. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。