EyeMIAS: a cloud-based ophthalmic image reading and auxiliary diagnosis system

Di Wu; Heming Zhao; Kai Yu; Xinjian Chen

doi:10.1117/12.2293598

6 March 2018 EyeMIAS: a cloud-based ophthalmic image reading and auxiliary diagnosis system

Di Wu, Heming Zhao, Kai Yu, Xinjian Chen

Proceedings Volume 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications; 105791O (2018) https://doi.org/10.1117/12.2293598
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

Relying solely on ophthalmic equipment is unable to meet the present health needs. It is urgent to find an efficient way to provide a quick screening and early diagnosis on diabetic retinopathy and other ophthalmic diseases. The purpose of this study is to develop a cloud-base system for medical image especially ophthalmic image to store, view and process and accelerate the screening and diagnosis. In this purpose the system with web application, upload client, storage dependency and algorithm support is implemented. After five alpha tests, the system bore the thousands of large traffic access and generated hundreds of reports with diagnosis.

Citation Download Citation

Di Wu, Heming Zhao, Kai Yu, and Xinjian Chen "EyeMIAS: a cloud-based ophthalmic image reading and auxiliary diagnosis system", Proc. SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105791O (6 March 2018); https://doi.org/10.1117/12.2293598

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