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An Approach for Estimation of Distance Information Between Two Persons from Single 2D Image Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Detection of Retinal Disease Screening Using Local Binary Patterns

Authors : S. B. Manojkumar, U. Shama Firdose, H. S. Sheshadri

Published in: Emerging Research in Electronics, Computer Science and Technology

Publisher: Springer Singapore

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Abstract

This work explores partial efficiency with effective structure based on fundus image to characterize among disease and normal images. The execution of LBP in the process of a surface description as retinal image had it investigated also contrasted and different description. The objective is to separate DR and typical fundus images investigating the surface of the retina foundation and keeping away from a past sore division. For each experiment, several classifiers were tested on an average sensitivity and specificity higher than 0.86 in all the cases, and almost of 1 and 0.99, respectively, for DR detection were achieved. These outcomes recommend that the strategy exhibited in this paper is a powerful calculation for portraying retina surface and can be valuable for the analysis which helps to framework for retinal disease screening.

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Metadata
Title
Detection of Retinal Disease Screening Using Local Binary Patterns
Authors
S. B. Manojkumar
U. Shama Firdose
H. S. Sheshadri
Copyright Year
2019
Publisher
Springer Singapore
Book
Emerging Research in Electronics, Computer Science and Technology

Print ISBN: 978-981-13-5801-2

Electronic ISBN: 978-981-13-5802-9

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-5802-9_91