There is a general clinical need for automated image detection of retinal pathology. Within this context there is a very strong drive for automated detection targeted to diabetic retinopathy and eye-screening. Therefore we structure our argument for the clinical need as follows: first by identifying factors related to the general clinical need, then by focusing specifically on the need resulting from the diabetes epidemic. Finally we consider application to other retinal disorders.
|Title of host publication||Automated Image Detection of Retinal Pathology|
|Editors||H.F. Jelinek, M.J. Cree|
|Place of Publication||New York|
|Number of pages||13|
|Publication status||Published - 2010|