Share Email Print
cover

Proceedings Paper

Effects of image compression and degradation on an automatic diabetic retinopathy screening algorithm
Author(s): C. Agurto; S. Barriga; V. Murray; M. Pattichis; P. Soliz
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Diabetic retinopathy (DR) is one of the leading causes of blindness among adult Americans. Automatic methods for detection of the disease have been developed in recent years, most of them addressing the segmentation of bright and red lesions. In this paper we present an automatic DR screening system that does approach the problem through the segmentation of features. The algorithm determines non-diseased retinal images from those with pathology based on textural features obtained using multiscale Amplitude Modulation-Frequency Modulation (AM-FM) decompositions. The decomposition is represented as features that are the inputs to a classifier. The algorithm achieves 0.88 area under the ROC curve (AROC) for a set of 280 images from the MESSIDOR database. The algorithm is then used to analyze the effects of image compression and degradation, which will be present in most actual clinical or screening environments. Results show that the algorithm is insensitive to illumination variations, but high rates of compression and large blurring effects degrade its performance.

Paper Details

Date Published: 9 March 2010
PDF: 9 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76240H (9 March 2010); doi: 10.1117/12.844431
Show Author Affiliations
C. Agurto, VisionQuest Biomedical, LLC (United States)
The Univ. of New Mexico (United States)
S. Barriga, VisionQuest Biomedical, LLC (United States)
The Univ. of New Mexico (United States)
V. Murray, VisionQuest Biomedical, LLC (United States)
The Univ. of New Mexico (United States)
M. Pattichis, The Univ. of New Mexico (United States)
P. Soliz, VisionQuest Biomedical, LLC (United States)
The Univ. of New Mexico (United States)
Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

© SPIE. Terms of Use
Back to Top