Algorithm of Foveal Avascular Zone Detection with Denoising Mechanism Learning on Optical Coherence Tomography Angiography Images
Journal
2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020
Pages
9-12
Date Issued
2020
Author(s)
Abstract
The foveal avascular zone (FAZ) is a region on a retinal image where blood vessels distribute sparsely. It helps identify diabetic retinopathy. In this study, we investigate the optical coherence tomography angiography (OCTA) to analyze the extent of the FAZ more precisely. Moreover, a learning-based denoising architecture is applied to well distinguish the vascular vessel and the noise. With these techniques, the FAZ in an OCTA image can be well extracted and its area can be estimated accurately. ? 2020 IEEE.
Subjects
Angiography; Eye protection; Optical tomography; Tomography; Angiography images; De-noising; Diabetic retinopathy; Foveal avascular zones; Retinal image; Blood vessels
SDGs
Other Subjects
Angiography; Eye protection; Optical tomography; Tomography; Angiography images; De-noising; Diabetic retinopathy; Foveal avascular zones; Retinal image; Blood vessels
Type
conference paper