期刊论文详细信息
Proceedings | |
Automatic Segmentation and Measurement of Vascular Biomarkers in OCT-A Images | |
Penedo, Manuel G.1  Novo, Jorge2  DÃaz, 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, 27â28 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
【 预 览 】
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