Automatic Segmentation and Measurement of Vascular Biomarkers in OCT-A Images

Proceedings

Penedo, Manuel G.¹  Novo, Jorge²  Díaz, Macarena³  Ortega, Marcos⁴ 

[1] Author to whom correspondence should be addressed.;CITIC-Research Center of Information and Communication Technologies, 15071 A Coruña, Spain;Department of Computation, University of A Coruña, 15071 A Coruña, Spain;Presented at the XoveTIC Congress, A Coruña, Spain, 27–28 September 2018.

关键词: computer-aided diagnosis;    Image Segmentation;    retinal imaging;    Optical Coherence Tomography Angiography;    vascularity;   

DOI  :  10.3390/proceedings2181169

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

We propose an automatic methodology that identifies the vascularity zones in OCT-A images and their measurement for its use in clinical analysis and diagnostic processes. The segmentation and measurement contributes objectivity and repeatability in the results, desirable characteristics in any diagnosis and monitoring process. In the validation of the method, the correlation coefficient of Pearson and Jaccard index were used, obtaining satisfactory results.

【 授权许可】

CC BY