An Unsupervised Adversarial Learning Approach to Fundus Fluorescein Angiography Image Synthesis for Leakage Detection
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-59520-3_15
Reference13 articles.
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5. Rabbani, H., Allingham, M.J., Mettu, P.S., Cousins, S.W., Farsiu, S.: Fully automatic segmentation of fluorescein leakage in subjects with diabetic macular edema. 34–39 (2015). https://doi.org/10.1167/iovs.14-15457
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2. A Weakly Supervised Deep Learning Approach for Leakage Detection in Fluorescein Angiography Images;Translational Vision Science & Technology;2022-03-09
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