• Aparna Chopade
• Sneha Memane
• Mansi Hiwase
• Trupti Rajule
• Prof Shital Pawar

Many researches have been done to improve ophthalmic disease screening and diagnosis using advanced image and data analysis techniques. However, the developed systems are not widely used because they are usually offline and separated from medical devices. Here, we introduce a platform that connects medical devices, ophthalmologists, and intelligent ophthalmic disease analysis systems through a cloud-based system. The retinal fundus images and patients’ personal data can be uploaded to the system and automatic analysis and assessment will be performed using advanced pattern classification algorithms such as CNN and SVM. Further, the analysis report will be made available so that patients can access their own report through mobile applications or web portal.

"Prediction of Ophthalmic Disease Using Image Processing and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.649-653, May-2019, Available :http://www.jetir.org/papers/JETIR1905296.pdf

"Prediction of Ophthalmic Disease Using Image Processing and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp649-653, May-2019, Available at : http://www.jetir.org/papers/JETIR1905296.pdf