Abstract
© Springer International Publishing AG 2018. 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 (CON-ADIS) 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.
| Original language | English (US) |
|---|---|
| Title of host publication | Development of a support system for the presumptive diagnosis of glaucoma through the processing of biomedical images of the human eye fundus in Ecuador |
| Pages | 100-109 |
| Number of pages | 10 |
| ISBN (Electronic) | 9783319604824 |
| DOIs | |
| State | Published - 1 Jan 2018 |
| Event | Advances in Intelligent Systems and Computing - , Germany Duration: 1 Jan 2015 → … |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 590 |
| ISSN (Print) | 2194-5357 |
Conference
| Conference | Advances in Intelligent Systems and Computing |
|---|---|
| Country/Territory | Germany |
| Period | 1/01/15 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
CACES Knowledge Areas
- 819A Public Health
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