Data fusion for multi-lesion diabetic retinopathy detection

Herbert F. Jelinek, Ramon Pires, Rafael Padilha, Siome Goldenstein, Jacques Wainer, Terry Bossomaier, Anderson Rocha

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

Screening of Diabetic Retinopathy (DR) with timely treatment prevents blindness. Several researchers have focused their work on the development of computer-aided lesion-specific detectors. Combining detectors is a complex task as frequently the detectors have different properties and constraints and are not designed under a unified framework. We extend our previous work for detecting DR lesions based on points of interest and visual words to include additional detectors for the most common DR lesions and investigate fusion techniques to combine different classifiers for classification of normal or signs of diabetic retinopathy. The combination methods show promising results and shed light on the possible advantages of combining complementary lesion detectors for the DR diagnosis problem.

Original languageBritish English
Title of host publicationProceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012
DOIs
StatePublished - 2012
Event25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012 - Rome, Italy
Duration: 20 Jun 201222 Jun 2012

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Conference

Conference25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012
Country/TerritoryItaly
CityRome
Period20/06/1222/06/12

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