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Current Diabetes Reports

Erschienen in:

01.03.2015 | Microvascular Complications—Retinopathy (JK Sun, Section Editor)

Automated Retinal Image Analysis for Diabetic Retinopathy in Telemedicine

verfasst von: Dawn A. Sim, Pearse A. Keane, Adnan Tufail, Catherine A. Egan, Lloyd Paul Aiello, Paolo S. Silva

Erschienen in: Current Diabetes Reports | Ausgabe 3/2015

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Abstract

There will be an estimated 552 million persons with diabetes globally by the year 2030. Over half of these individuals will develop diabetic retinopathy, representing a nearly insurmountable burden for providing diabetes eye care. Telemedicine programmes have the capability to distribute quality eye care to virtually any location and address the lack of access to ophthalmic services. In most programmes, there is currently a heavy reliance on specially trained retinal image graders, a resource in short supply worldwide. These factors necessitate an image grading automation process to increase the speed of retinal image evaluation while maintaining accuracy and cost effectiveness. Several automatic retinal image analysis systems designed for use in telemedicine have recently become commercially available. Such systems have the potential to substantially improve the manner by which diabetes eye care is delivered by providing automated real-time evaluation to expedite diagnosis and referral if required. Furthermore, integration with electronic medical records may allow a more accurate prognostication for individual patients and may provide predictive modelling of medical risk factors based on broad population data.

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Titel: Automated Retinal Image Analysis for Diabetic Retinopathy in Telemedicine
verfasst von: Dawn A. Sim
Pearse A. Keane
Adnan Tufail
Catherine A. Egan
Lloyd Paul Aiello
Paolo S. Silva
Publikationsdatum: 01.03.2015
Verlag: Springer US
Erschienen in: Current Diabetes Reports / Ausgabe 3/2015
Print ISSN: 1534-4827
Elektronische ISSN: 1539-0829
DOI: https://doi.org/10.1007/s11892-015-0577-6

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