Title :
Automated diagnosing of nevus flammeus using OCT raw signal
Author :
Sun, Yankui ; Xue, Chengkun
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
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.
Keywords :
biomedical optical imaging; diseases; medical image processing; optical tomography; patient diagnosis; support vector machines; OCT Raw Signal; SVM; automated disease diagnosing; nevus flammeus; optical coherence tomography; support vector machine; Biomedical optical imaging; Coherence; Optical imaging; Optical signal processing; Skin; Support vector machines; Tomography; automated diagnosing; nevus flammeus; optical coherence tomography; support vector machine;
Conference_Titel :
Computer and Information Application (ICCIA), 2010 International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-8597-0
DOI :
10.1109/ICCIA.2010.6141634
