NDLI: Microaneurysm detection with radon transform-based classification on retina images

Content Provider	IEEE Xplore Digital Library
Author	Giancardo, L. Meriaudeau, F. Karnowski, T.P. Li, Y. Tobin, K.W. Chaum, E.
Copyright Year	2011
Description	Author affiliation: University of Burgundy, Le Creusot, 71200 France (Meriaudeau, F.) \|\| Oak Ridge National Laboratory, Oak Ridge, TN 37831 USA (Karnowski, T.P.; Tobin, K.W.) \|\| Memphis TN 38163 USA (Chaum, E.) \|\| University of Tennessee Health Science Center, Memphis TN 38163 USA (Li, Y.) \|\| University of Burgundy and the Oak Ridge National Laboratory (Giancardo, L.)
Abstract	The creation of an automatic diabetic retinopathy screening system using retina cameras is currently receiving considerable interest in the medical imaging community. The detection of microaneurysms is a key element in this effort. In this work, we propose a new microaneurysms segmentation technique based on a novel application of the radon transform, which is able to identify these lesions without any previous knowledge of the retina morphological features and with minimal image preprocessing. The algorithm has been evaluated on the Retinopathy Online Challenge public dataset, and its performance compares with the best current techniques. The performance is particularly good at low false positive ratios, which makes it an ideal candidate for diabetic retinopathy screening systems.
Starting Page	5939
Ending Page	5942
File Size	526285
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091562
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Retina Training Diabetes Lesions Transforms Retinopathy Image color analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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