Automated Detection of Leakage in Fluorescein Angiography Images with Application to Malarial Retinopathy
The detection and assessment of leakage in retinal fluorescein angiogram images is important for the management of a wide range of retinal diseases. We have developed a framework that can automatically detect three types of leakage (large focal, punctate focal, and vessel segment leakage) and valida...
| Main Authors: | , , , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Nature Publishing Group
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450752/ |