Automated Diagnosing of Nevus Flammeus Using OCT Raw Signal

摘要：

Optical coherence tomography has important applications in disease diagnosis. In this paper, a novel automated approach is proposed to assess nevus flammeus using OCT raw signal. It uses the signal characteristics of the OCT A-scans, integrated with some pre-process steps and support vector machine (SVM) to diagnose nevus flammeus. The experimental results show that our approach is simple and accurate.

关键词： optical coherence tomography nevus flammeus automated diagnosing support vector machine

作者: Yankui Sun Chengkun Xue

作者单位: Department of Computer Science and Technology, Tsinghua University Beijing, P.R. China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Information Application(2010年计算机与信息应用国际会议 ICCIA 2010)

会议地点: 天津

会议语种:英文

页码: 453-456

在线出版日期: 2010-12-03（万方平台首次上网日期，不代表论文的发表时间）