Classifying and quantifying changes in papilloedema using machine learning
Background Machine learning (ML) can differentiate papilloedema from normal optic discs using fundus photos. Currently, papilloedema severity is assessed using the descriptive, ordinal Frisén scale. We hypothesise that ML can quantify papilloedema and detect a treatment effect on papilloedema due to...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2024-05-01
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| Series: | BMJ Neurology Open |
| Online Access: | https://neurologyopen.bmj.com/content/6/1/e000503.full |