Machine learning applied to retinal image processing for glaucoma detection: review and perspective
Introduction: This is a systematic review on the main algorithms using machine learning (ML) in retinal image processing for glaucoma diagnosis and detection. ML has proven to be a significant tool for the development of computer aided technology. Furthermore, secondary research has been widely cond...
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| Principais autores: | , , , , , |
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| Formato: | article |
| Idioma: | English |
| Publicado em: |
Biomedical Engineering Online
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| Assuntos: | |
| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/29248 |
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