https://scholars.lib.ntu.edu.tw/handle/123456789/580960
標題: | Algorithm of Foveal Avascular Zone Detection with Denoising Mechanism Learning on Optical Coherence Tomography Angiography Images | 作者: | Lee Y.-C Yeung L Lee T.-W Chang C.-J Lin Y.-T. JIAN-JIUN DING |
關鍵字: | Angiography; Eye protection; Optical tomography; Tomography; Angiography images; De-noising; Diabetic retinopathy; Foveal avascular zones; Retinal image; Blood vessels | 公開日期: | 2020 | 起(迄)頁: | 9-12 | 來源出版物: | 2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020 | 摘要: | 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. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099581525&doi=10.1109%2fECICE50847.2020.9301965&partnerID=40&md5=67cd30cc3389bb4161c1ce454a9d1295 https://scholars.lib.ntu.edu.tw/handle/123456789/580960 |
DOI: | 10.1109/ECICE50847.2020.9301965 | SDG/關鍵字: | Angiography; Eye protection; Optical tomography; Tomography; Angiography images; De-noising; Diabetic retinopathy; Foveal avascular zones; Retinal image; Blood vessels |
顯示於: | 電機工程學系 |
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