Tumor recognition in wireless capsule endoscopy images using textural features and SVM-based feature selection
文献类型：期刊论文
| 作者 | Li, Baopu; Meng, Max Q. -H. |
| 刊名 | IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
 |
| 出版日期 | 2012 |
| 英文摘要 | Tumor in digestive tract is a common disease and wireless capsule endoscopy (WCE) is a relatively new technology to examine diseases for digestive tract especially for small intes-tine. This paper addresses the problem of automatic recognition of tumor for WCE images. Candidate color texture feature that integrates uniform local binary pattern and wavelet is proposed to characterize WCE images. The proposed features are invariant to illumination change and describe multiresolution characteris-tics of WCE images. Two feature selection approaches based on support vector machine, sequential forward floating selection and recursive feature elimination, are further employed to refine the proposed features for improving the detection accuracy. Extensive experiments validate that the proposed computer-aided diagnosis system achieves a promising tumor recognition accuracy of 92.4% in WCE images on our collected data. Index Terms—Feature selection, support vector machine (SVM), texture, tumor recognition, wireless capsule endoscopy (WCE) image. |
| 收录类别 | SCI |
| 原文出处 | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6138917 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3758]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE |
| 推荐引用方式 GB/T 7714 | Li, Baopu,Meng, Max Q. -H.. Tumor recognition in wireless capsule endoscopy images using textural features and SVM-based feature selection[J]. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE,2012. |
| APA | Li, Baopu,&Meng, Max Q. -H..(2012).Tumor recognition in wireless capsule endoscopy images using textural features and SVM-based feature selection.IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE. |
| MLA | Li, Baopu,et al."Tumor recognition in wireless capsule endoscopy images using textural features and SVM-based feature selection".IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2012). |
入库方式： OAI收割
来源：深圳先进技术研究院
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