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Eye Defect Detection Using Deep Learning by Bless Co is a document available to read on EtoBox.
What is Eye Defect Detection Using Deep Learning about?
The document proposes developing a web-based system using deep learning to detect eye defects. It discusses the background of eye anatomy and conditions like cataracts, glaucoma, and refractive errors being major causes of vision impairment in Nigeria. The problem is lack of eye care professionals and equipment. The aim is to create a model to accurately detect five eye defects: bulging eyes, cataracts, crossed eyes, glaucoma, and uveitis. This could help diagnose issues earlier and improve patient outcomes
- Author
- Bless Co
- Language
- EN