ロード中...
Enhanced Visualization of Retinal Microvasculature in Optical Coherence Tomography Angiography Imaging via Deep Learning
Background: To investigate the effects of deep learning denoising on quantitative vascular measurements and the quality of optical coherence tomography angiography (OCTA) images. Methods: U-Net-based deep learning denoising with an averaged OCTA data set as teacher data was used in this study. One h...
保存先:
| 出版年: | J Clin Med |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7290309/ https://ncbi.nlm.nih.gov/pubmed/32370282 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm9051322 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|