Comparing SVM and Naïve Bayes Classifier for Automatic Microaneurysm Detections

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>Comparing SVM and Naïve Bayes Classifier for Automatic Microaneurysm Detections </title> <meta name="description" content="Comparing SVM and Naïve Bayes Classifier for Automatic Microaneurysm Detections "> <meta name="keywords" content="Diabetic retinopathy, microaneurysm, Naïve Bayes classifier, SVM classifier."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Comparing SVM and Naïve Bayes Classifier for Automatic Microaneurysm Detections "> <meta name="citation_author" content="A. Sopharak"> <meta name="citation_author" content="B. Uyyanonvara"> <meta name="citation_author" content="S. Barman"> <meta name="citation_publication_date" content="2014/04/06"> <meta name="citation_journal_title" content="International Journal of Computer and Information Engineering"> <meta name="citation_volume" content="8"> <meta name="citation_issue" content="5"> <meta name="citation_firstpage" content="797"> <meta name="citation_lastpage" content="800"> <meta name="citation_pdf_url" content="https://publications.waset.org/9998289/pdf"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value=""> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 33093</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Comparing SVM and Naïve Bayes Classifier for Automatic Microaneurysm Detections </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=A.%20Sopharak">A. Sopharak</a>, <a href="https://publications.waset.org/search?q=B.%20Uyyanonvara"> B. Uyyanonvara</a>, <a href="https://publications.waset.org/search?q=S.%20Barman"> S. Barman </a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Diabetic retinopathy is characterized by the development of retinal microaneurysms. The damage can be prevented if disease is treated in its early stages. In this paper, we are comparing Support Vector Machine (SVM) and Naïve Bayes (NB) classifiers for automatic microaneurysm detection in images acquired through non-dilated pupils. The Nearest Neighbor classifier is used as a baseline for comparison. Detected microaneurysms are validated with expert ophthalmologists’ hand-drawn ground-truths. The sensitivity, specificity, precision and accuracy of each method are also compared.</p> <iframe src="https://publications.waset.org/9998289.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Diabetic%20retinopathy" title="Diabetic retinopathy">Diabetic retinopathy</a>, <a href="https://publications.waset.org/search?q=microaneurysm" title=" microaneurysm"> microaneurysm</a>, <a href="https://publications.waset.org/search?q=Na%C3%AFve%20Bayes%20classifier" title=" Naïve Bayes classifier"> Naïve Bayes classifier</a>, <a href="https://publications.waset.org/search?q=SVM%20classifier." title=" SVM classifier."> SVM classifier.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1092605" target="_blank">doi.org/10.5281/zenodo.1092605</a> </p> <a href="https://publications.waset.org/9998289/comparing-svm-and-naive-bayes-classifier-for-automatic-microaneurysm-detections" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9998289/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9998289/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9998289/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9998289/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9998289/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9998289/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9998289/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9998289/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9998289/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9998289/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9998289.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">6106</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] S. Wild, G. Roglic, A. Green et al., "Global prevalence of diabetes: estimates for the year 2000 and projections for 2030,” Diabetes Care 27, 2004, pp.1047-1053. <br>[2] P. Massin, A. Erginay, and A. Gaudric, "Retinopathie Diabetique”, Elsevier, Editions scientifiques of medicales, Elsevier, SAS, Paris 2000. <br>[3] T. Spencer, J.A. Olson, K.C. McHardy et al., "An image-processing strategy for the segmentation and quantification of microaneurysms in fluorescein angiograms of the ocular fundus,” Comp Biomed Res 29, 1996, pp. 284–302. <br>[4] M.J. Cree, J.A. Olson, K.C. McHardy et al., "A fully automated comparative microaneurysm digital detection system,” Eye 11, 1997, pp. 622–628. <br>[5] A. Frame, P. Undrill, M. Cree et al., "A comparison of computer based classification methods applied to the detection of microaneurysms in ophthalmic fluorescein angiograms,” Comput. Biol. Med. 28, 1998, pp. 225–238. <br>[6] T. Walter, P. Massin, A. Erginay et al., "Automatic detection of microaneurysms in color fundus images,” Medical Image Analysis 11(6), 2007, pp.555-566. <br>[7] C. Sinthanayothin, J.F. Boyce, T.H Williamson, T.H. et al., "Automated Detection of Diabetic Retinopathy on Digital Fundus Image,” Diabetic Medicine 19(2), 2002, pp. 105–112, 2002. <br>[8] D. Usher, M. Dumskyj, M. Himaga et al., "Automated Detection of Diabetic Retinopathy in Digital Retinal Images: A Tool for Diabetic Retinopathy Screening,” Diabetic Medicine 21(1), 2004, pp. 84–90. <br>[9] B. Dupas, T. Walter, A. Erginay et al., "Evaluation of automated fundus photograph analysis algorithms for detecting microaneurysms, haemorrhages and exudates, and of a computer-assisted diagnostic system for grading diabetic retinopathy,” Diabetes & Metabolism 36(3), 2010, pp. 213-220. <br>[10] M. Niemeijer, B. van Ginneken, J. Staal et al., "Automatic detection of red lesions in digital color fundus photographs,” IEEE Trans Med Imaging 24(5), 2005, pp.584-592. <br>[11] B. Zhang, X. Wu, J. You et al., "Detection of microaneurysms using multi-scale correlation coefficients,” Pattern Recognition 43(6), 2010, pp. 2237-2248. <br>[12] B. F. Zohra and B. Mohamed, "Automated diagnosis of retinal images using SVM”, Faculte des Science, Department of Informatique, USTO, Algerie. <br>[13] X. Wen-Hua. "Detection of microaneurysms in bifrequency space based on SVM.” Electronics, Communications and Control (ICECC), 2011 International Conference on. IEEE, pp. 1432-1435, 2011. <br>[14] A. Sopharak, B. Uyyanonvara, and S. Barman., "Automatic Microaneurysm Quantification for Diabetic Retinopathy Screening.” International Conference on Image Analysis and Processing, pp. 2591-2594, 2013. <br>[15] A. Sopharak, B. Uyyanonvara, S. Barman et al., "Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods,” Computer Medical Imaging and Graphics 32(8), 2008, pp. 720-727. <br>[16] R.S. Kenneth, C.R. John, J. Matthew et al. (2006, June 15). Difference of Gaussians Edge Enhancement (Online). Available: http://micro.magnet.fsu.edu/primer/java/digitalimaging/processing/diffgaussians/index.html <br>[17] N. Friedman, D. Geiger, and M. Goldszmidt, "Bayesian network classifiers,” Machine Learning. Vol. 29, pp.131-163, 1997. <br>[18] O.D. Richard, E.H. Peter, and G.S. David, Pattern Classification 2nd edition, A Wiley-Interscience Publication, 2000, pp. 20-83. <br>[19] X.Y. Wang, J. Garibaldi, and T. Ozen, "Application of The Fuzzy C-Means clustering Method on the Analysis of non Pre-processed FTIR Data for Cancer Diagnosis,” Internat. Conf. on Australian and New Zealand Intelligent Information Systems (ANZIIS), pp. 233-238, 2003. <br>[20] C.C. 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Comparing SVM and Naïve Bayes Classifier for Automatic Microaneurysm Detections