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Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography
PURPOSE: To evaluate the role of ensemble learning techniques with deep learning in classifying diabetic retinopathy (DR) in optical coherence tomography angiography (OCTA) images and their corresponding co-registered structural images. METHODS: A total of 463 volumes from 380 eyes were acquired usi...
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| Publicat a: | Transl Vis Sci Technol |
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| Autors principals: | , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Association for Research in Vision and Ophthalmology
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7396168/ https://ncbi.nlm.nih.gov/pubmed/32818081 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.9.2.20 |
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