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

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

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 diagn...

Full description

Bibliographic Details
Main Authors: Macarena Díaz, Jorge Novo, Manuel G. Penedo, Marcos Ortega
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Proceedings
Subjects:
computer-aided diagnosis
Image Segmentation
retinal imaging
Optical Coherence Tomography Angiography
vascularity
Online Access:http://www.mdpi.com/2504-3900/2/18/1169
Description
Summary: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.
ISSN:2504-3900

Similar Items