Detección automática de la Retinopatía Diabética ¿Mito o realidad?
Keywords:
Diabetic, Retinopathy, computer vision, pattern recognition, artificial intelligence
Abstract
Diabetic Retinopathy has become a worldwide health problem affecting diabetic people of working age, generating loss of vision or permanent blindness to patients, affecting their quality of life. Clinical detection methods are time consuming and expensive, which translates into a high incidence of this disease. Contemporary technological developments can be used to carry out the diagnosis of the disease, from the use of computer vision techniques that relate the areas of pattern recognition, image processing and artificial intelligence.
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References
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World Health Organization. WHO guideline: recommendations on digital interventions for health system strengthening. World Health Organization
Published
2022-10-03
How to Cite
Ferreiro-Piñeiro, D., Olmos-Pineda, I., & Olvera-López , J. A. (2022). Detección automática de la Retinopatía Diabética ¿Mito o realidad?. Contactos, Revista De Educación En Ciencias E Ingeniería, 1(125), 5-12. Retrieved from https://contactos.izt.uam.mx/index.php/contactos/article/view/218
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