A machine learning approach to predicting dry eye-related signs, symptoms and diagnoses from meibography images
Purpose: To use artificial intelligence to identify relationships between morphological characteristics of the Meibomian glands (MGs), subject factors, clinical outcomes, and subjective symptoms of dry eye. Methods: A total of 562 infrared meibography images were collected from 363 subjects (170 con...
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| Asıl Yazarlar: | , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2024-09-01
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| Seri Bilgileri: | Heliyon |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S240584402412052X |
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