Loading [MathJax]/extensions/MathMenu.js
Multiple eye disease detection using Deep Neural Network | IEEE Conference Publication | IEEE Xplore

Multiple eye disease detection using Deep Neural Network


Abstract:

India has a blind population of approximately 15 million, and the sad reality is that 75% of these cases are curable. The doctor-patient ratio in India is 1:10,000. Studi...Show More

Abstract:

India has a blind population of approximately 15 million, and the sad reality is that 75% of these cases are curable. The doctor-patient ratio in India is 1:10,000. Studies have found that Diabetic Retinopathy(DR) and Glaucoma are the leading causes of blindness in India. Diabetic retinopathy is caused mainly due to enduring diabetes in a person and is found to be the principal cause of blindness among the working-age population in developed and developing nations. Glaucoma causes damages to the optic nerve, thereby leads to blindness. Early stages of both diseases are asymptomatic, making its detection difficult, and if left untreated, this can cause irreversible damages to vision. The proposed deep neural network model helps to detect the presence of diabetic retinopathy and glaucoma at its early stages. It can alert the patients to consult an ophthalmologist on a screening standpoint. The developed model is less complicated and resulted in an accuracy of 80%.
Date of Conference: 17-20 October 2019
Date Added to IEEE Xplore: 12 December 2019
ISBN Information:

ISSN Information:

Conference Location: Kochi, India

Contact IEEE to Subscribe

References

References is not available for this document.