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Miguel Botto-Tobar on Muck Rack

Miguel Botto-Tobar

As seen in: MDPI, Canadian Journal of Infectious Diseases & Medical Microbiology
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Articles

Glaucoma Detection and Classification Using Improved U-Net Deep Learning Model

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By Ramgopal Kashyap, Rajit Nair, Miguel Botto-Tobar, Saadia Farooq
| MDPI
1. Introduction It is critical to acquire an accurate glaucoma diagnosis as soon as possible and in a timely manner to prevent future vision loss and damage. According to the World Health Organization (WHO), 3.54 percent of 40–80-year-olds have glaucoma. Those who are impacted may lose their vision. Individuals under the age of 40 are more prone than those over the age of 80 to getting glaucoma, which affects one in every eight people [1].
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