Publication: A mobile base application for cataract and conjunctivitis detection
DOI
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Type:
Article
Date
2020
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Publisher
University of Kelaniya
Abstract
With time the life patterns of humans have
evolved at a rapid space. Today, it has come to a point where
people are opting to put their health status behind other
priorities in life. A contemporary example is the spreading of the
COVID-19 virus. One of the other significant health issues faced
by the present-day community is illnesses related to the eyes.
However, unlike other health issues, most of the eye diseases can
be cured with proper attention. Cataract and Conjunctivitis are
identified as two of the main eye diseases faced by a mass amount
of people around the world. If left untreated, these diseases can
even lead to blindness. As a matter of fact, Cataract has been
reported as the first cause of blindness by the world health
organization. Typically, the detection of these diseases is done by
an ophthalmologist with the use of a special medical equipment.
Thus, the channeling of an ophthalmologist has become a
mandatory requirement for the detection of these diseases. In
addition, the availability of medical equipment and medical
officers is deficient in rural areas. Thus, as a solution for the
above-mentioned issues, it was decided to propose a mobilebased application, Eye Plus, for the detection of Cataract and
Conjunctivitis diseases. Using Eye Plus, one would be able to test
his/her eyes at a convenient time in any place for a zero cost. In
addition, it provides additional information related to Cataract
and Conjunctivitis diseases. Another special feature of the
application is the ability to operate it without the help of another
party. At present, the application achieved a success rate of
83.3% for a collection of 150 images.
Description
Keywords
Cataract, Conjunctivitis, Image Processing, CNN, Keras, TensorFlow
