Providing background on the impact of eye disease on the community, Automated Image Detection of Retinal Pathology discusses the effect of automated assessment programs on health care provision. This book offers examples and analyzes the use of automated computer techniques, such as pattern recognition, in detecting retinal images as well as diabetic retinopathy. Addressing the benefits and challenges of automated health care in the field of ophthalmology, it details the increasing practice of telemedicine screening along with other advanced applications including arteriolar-venous ration, which has been shown to be an early indicator of cardiovascular, diabetes, and cerebrovascular risk.
|Place of Publication||New York|
|Number of pages||1|
|Publication status||Published - 2010|