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Automated and simultaneous fovea center localization and macula segmentation using the new dynamic identification and classification of edges model
Detecting the position of retinal structures, including the fovea center and macula, in retinal images plays a key role in diagnosing eye diseases such as optic nerve hypoplasia, amblyopia, diabetic retinopathy, and macular edema. However, current detection methods are unreliable for infants or cert...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5019108/ https://ncbi.nlm.nih.gov/pubmed/27660803 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.3.3.034002 |
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