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Proceedings Paper

EyeMIAS: a cloud-based ophthalmic image reading and auxiliary diagnosis system
Author(s): Di Wu; Heming Zhao; Kai Yu; Xinjian Chen
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Paper 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.

Paper Details

Date Published: 6 March 2018
PDF: 8 pages
Proc. SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105791O (6 March 2018); doi: 10.1117/12.2293598
Show Author Affiliations
Di Wu, Soochow Univ. (China)
Heming Zhao, Soochow Univ. (China)
Kai Yu, Soochow Univ. (China)
Xinjian Chen, Soochow Univ. (China)

Published in SPIE Proceedings Vol. 10579:
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications
Jianguo Zhang; Po-Hao Chen, Editor(s)

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