Abstract
Age-related macular degeneration (AMD) is the most common cause of visual loss in the United States and is a growing public health problem. The presence and severity of AMD in current epidemiological studies is detected by the grading of color stereoscopic fundus photographs. The purpose of this study was to show that a mathematical technique, amplitude-modulation frequency modulation (AM-FM) can be used to generate multi-scale features for classifying pathological structures, such as drusen, on a retinal image. AM-FM features were calculated for N=120 40×40 regions from 5 retinal images presenting with age-related macular degeneration. The results show that with this technique, drusen can be differenced from normal retinal structures by more than three standard deviations using the AM-FM histograms. In addition, by using different color spaces highly accurate classification of structures of the retina is achieved. These results are the first step in the development of an automated AMD grading system.
| Original language | English |
|---|---|
| Title of host publication | 2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 |
| DOIs | |
| State | Published - 2009 |
| Externally published | Yes |
| Event | 2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 - Albuquerque, NM, United States Duration: 2 Aug 2009 → 5 Aug 2009 |
Publication series
| Name | Proceedings - IEEE Symposium on Computer-Based Medical Systems |
|---|---|
| ISSN (Print) | 1063-7125 |
Conference
| Conference | 2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 |
|---|---|
| Country/Territory | United States |
| City | Albuquerque, NM |
| Period | 2/08/09 → 5/08/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- AM-FM
- Macular Degeneration
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