ML Anthology

Image Classification for Age-Related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining

Mohd. Hanafi Ahmad Hijazi, Chuntao Jiang, Frans Coenen, Yalin Zheng
ECML-PKDD 2011 pp. 65-80
doi:10.1007/978-3-642-23783-6_5 /ecmlpkdd/2011/hijazi2011ecmlpkdd-image/

Abstract

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 colour 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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Cite

Text

Hijazi et al. "Image Classification for Age-Related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011. doi:10.1007/978-3-642-23783-6_5

Markdown

[Hijazi et al. "Image Classification for Age-Related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011.](https://mlanthology.org/ecmlpkdd/2011/hijazi2011ecmlpkdd-image/) doi:10.1007/978-3-642-23783-6_5

BibTeX

@inproceedings{hijazi2011ecmlpkdd-image,
  title     = {{Image Classification for Age-Related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining}},
  author    = {Hijazi, Mohd. Hanafi Ahmad and Jiang, Chuntao and Coenen, Frans and Zheng, Yalin},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2011},
  pages     = {65-80},
  doi       = {10.1007/978-3-642-23783-6_5},
  url       = {https://mlanthology.org/ecmlpkdd/2011/hijazi2011ecmlpkdd-image/}
}