Abstract
According to the World Health Organization, approximately in the world 5’700.000 persons present blindness or low vision due the glaucoma disease. In Ecuador, the National Council for Equality of Disabilities (CONADIS) claims that 13.2% of people live with some form of disability. Of this group, 0.8% people present different kind of visual disabilities, from which an important number are have related with Glaucoma. This article proposes an accessible tool for the ophthalmologist that facilitates the presumptive diagnosis of Glaucoma using only the digital image of the human eye fundus. With the proposed system, we have processed digitally 72 biomedical images of the human eye. With this information, our approach has generated the respective diagnoses for the two techniques ISNT and cup-disc relationship (CDR), which can be stored in PDF format to contrast with a later diagnosis to help the specialist. The CDR technique has produced an average relative error of 4.5% was obtained with respect to the medical results taken from OCT. Both the images and the results of the OCT were acquired from the Clinic “Santa Lucía” of Quito city.
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Acknowledgments
This research project would not have been possible without the support of the Research Group of Artificial Intelligence and Support Technology and of the Research Group in Biomedical Engineering of the Universidad Politecnica Salesiana of Cuenca. Special thanks also to Dr. Carlos Luis Chacón from Santa Lucía clinic in Quito, and the University of Piura – Perú, and its Engineering Doctorial Program, DICOP.
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Pinos-Vélez, E., Encalada, S., Gamboa, E., Robles-Bykbaev, V., Ipanque, W., Chacón, C.L. (2018). Development of a Support System for the Presumptive Diagnosis of Glaucoma Through the Processing of Biomedical Images of the Human Eye Fundus in Ecuador. In: Duffy, V., Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2017. Advances in Intelligent Systems and Computing, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-319-60483-1_11
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DOI: https://doi.org/10.1007/978-3-319-60483-1_11
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