International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Analysis of Ocular Disease Using Multiple Information Domains

Authors: Shital Pawar, Sneha Memane, Mansi Hiwase, Trupti Rajule, Aparna Chopade

Country: India

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Abstract: Among all the beneficial applications of an IoT, Health Care can be said to be as one of its major application. IoT has an efficiency to consolidate the medical devices along with the various healthcare related applications through internet. Many researches have been done for the improvisation of ocular disease screening and with the provision of its diagnosis using advanced image supported by the data analysis techniques. However, the current scenario depicts lack of usage of developed systems because of their offline behavior and due to separation from medical devices. Here, a platform is being introduced that tends to connect medical devices, patients, ophthalmologists, and an intelligent system that analyses ocular disease through the provision of cloud. In order to offer both easy accessibility and enhanced security, the platform is designed to be in a hybrid cloud pattern. The facility to upload the retinal fundus images and patients’ personal data is provided to the public cloud tier through various channels including web portals, retinal fundus cameras, mobile applications and APIs. By the provision to advanced pattern classification algorithms, the data will be transferred to the private cloud tier where automatic analysis and assessment will be performed. Further, in order to provide the easy accessibility to the analysis reports of the patient, they will be made available in the public tier using the mobile application or Web-Portals.

Keywords: Age-related Macular Degeneration (AMD), Computer Aided Diagnosis (CAD), Diabetic Retinopathy (DR), Model View Controller (MVC), Sparse Dissimilarity Constraint (SDC)


Paper Id: 406

Published On: 2018-12-17

Published In: Volume 6, Issue 6, November-December 2018

Cite This: Analysis of Ocular Disease Using Multiple Information Domains - Shital Pawar, Sneha Memane, Mansi Hiwase, Trupti Rajule, Aparna Chopade - IJIRMPS Volume 6, Issue 6, November-December 2018.

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