Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining
Age-related Macular Degeneration (AMD) is the most common cause of adult blindness in the developed world. This paper describes a new image mining technique to perform automated detection of AMD from color fundus photographs. The technique comprises a novel hierarchical image decomposition mechanism...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2011
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/31610/1/Image%20Classification%20for%20Age-related%20Macular%20Degeneration%20Screening%20Using%20Hierarchical%20Image%20Decompositions%20and%20Graph%20Mining.pdf1.pdf https://eprints.ums.edu.my/id/eprint/31610/2/Image%20Classification%20for%20Age-related%20Macular%20Degeneration%20Screening%20Using%20Hierarchical%20Image%20Decompositions%20and%20Graph%20Mining.pdf |
| Summary: | Age-related Macular Degeneration (AMD) is the most common cause of adult blindness in the developed world. This paper describes a new image mining technique to perform automated detection of AMD from color fundus photographs. The technique comprises a novel hierarchical image decomposition mechanism founded on a circular and angular partitioning. The resulting decomposition is then stored in a tree structure to which a weighted frequent sub-tree mining algorithm is applied. The identified sub-graphs are then incorporated into a feature vector representation (one vector per image) to which classification techniques can be applied. The results show that the proposed approach performs both efficiently and accurately. |
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