Book chapter
Detecting Retinal Pathology Automatically with Special Emphasis on Diabetic Retinopathy
Automated Image Detection of Retinal Pathology, pp.67-78
CRC Press
2009
Abstract
For clinicians to appreciate the potential for these systems, several things had to change. Finally, in the 1980s and early 1990s, several positive circumstances became aligned. Most important, evidence based medicine, meaning clinical diagnoses and disease management based on scientific, well designed studies, and not on oral tradition, gained traction. Specifically in ophthalmology, the Diabetes Control and Complications Trial (DCCT, 1983-1993) [2] and the Early Treatment Diabetic Retinopathy Study (ETDRS, 1979-1989) [3-8], the largest clinical trials of their time, were monumental. As the reader may be aware, the reason we are discussing automatic screening and screening for diabetic retinopathy at all is because these trials showed that it was rational to look for early signs of retinopathy. If early diagnosis were possible, but no effective treatment had been available, there would be no rationale for screening.
Details
- Title: Subtitle
- Detecting Retinal Pathology Automatically with Special Emphasis on Diabetic Retinopathy
- Creators
- M D Abramoff - University of Iowa, Ophthalmology and Visual SciencesM Niemeijer - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Automated Image Detection of Retinal Pathology, pp.67-78
- Publisher
- CRC Press; Boca Raton
- Number of pages
- 393
- Language
- English
- Date published
- 2009
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Fraternal Order of Eagles Diabetes Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984240438302771
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