Calcification Classification in Mammograms Using Decision Trees

<!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>Calcification Classification in Mammograms Using Decision Trees</title> <meta name="description" content="Calcification Classification in Mammograms Using Decision Trees"> <meta name="keywords" content="Breast Cancer, Mammogram, Symlet Wavelets, Gabor Filters, Decision Trees"> <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="Calcification Classification in Mammograms Using Decision Trees"> <meta name="citation_author" content="S. Usha"> <meta name="citation_author" content="S. Arumugam"> <meta name="citation_publication_date" content="2016/02/02"> <meta name="citation_journal_title" content="International Journal of Computer and Information Engineering"> <meta name="citation_volume" content="9"> <meta name="citation_issue" content="9"> <meta name="citation_firstpage" content="2120"> <meta name="citation_lastpage" content="2124"> <meta name="citation_pdf_url" content="https://publications.waset.org/10003918/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">Calcification Classification in Mammograms Using Decision Trees</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=S.%20Usha">S. Usha</a>, <a href="https://publications.waset.org/search?q=S.%20Arumugam"> S. Arumugam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Cancer affects people globally with breast cancer being a leading killer. Breast cancer is due to the uncontrollable multiplication of cells resulting in a tumour or neoplasm. Tumours are called ‘benign’ when cancerous cells do not ravage other body tissues and ‘malignant’ if they do so. As mammography is an effective breast cancer detection tool at an early stage which is the most treatable stage it is the primary imaging modality for screening and diagnosis of this cancer type. This paper presents an automatic mammogram classification technique using wavelet and Gabor filter. Correlation feature selection is used to reduce the feature set and selected features are classified using different decision trees.</p> <iframe src="https://publications.waset.org/10003918.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Breast%20Cancer" title="Breast Cancer">Breast Cancer</a>, <a href="https://publications.waset.org/search?q=Mammogram" title=" Mammogram"> Mammogram</a>, <a href="https://publications.waset.org/search?q=Symlet%20Wavelets" title=" Symlet Wavelets"> Symlet Wavelets</a>, <a href="https://publications.waset.org/search?q=Gabor%20Filters" title=" Gabor Filters"> Gabor Filters</a>, <a href="https://publications.waset.org/search?q=Decision%20Trees" title=" Decision Trees"> Decision Trees</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1112095" target="_blank">doi.org/10.5281/zenodo.1112095</a> </p> <a href="https://publications.waset.org/10003918/calcification-classification-in-mammograms-using-decision-trees" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10003918/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10003918/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10003918/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10003918/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10003918/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10003918/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10003918/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10003918/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10003918/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10003918/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10003918.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">1751</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] Majumder, R., Chaudhuri, B., Ghosh, A., Ledwich, G., & Zare, F. Howlader N, Noone AM, Krapcho M, Neyman N, Aminou R, et al. SEER Cancer Statistics Review, 1975-2009. National Cancer Institute. http://seer.cancer.gov/csr/1975_2009_pops09 <br>[2] Curtis, C., Shah, S. P., Chin, S. F., Turashvili, G., Rueda, O. M., Dunning, M. J., & Aparicio, S. (2012). The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature, 486(7403), 346-352. <br>[3] Perou, C. M., Sørlie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., Rees, C. A., & Botstein, D. (2000). Molecular portraits of human breast tumours. Nature, 406(6797), 747-752. <br>[4] Tang, J., Rangayyan, R. M., Xu, J., El Naqa, I., & Yang, Y. (2009). Computer-aided detection and diagnosis of breast cancer with mammography: recent advances. Information Technology in Biomedicine, IEEE Transactions on, 13(2), 236-251. <br>[5] Virnig, B. A., Tuttle, T. M., Shamliyan, T., & Kane, R. L. (2010). Ductal carcinoma in situ of the breast: a systematic review of incidence, treatment, and outcomes. Journal of the National Cancer Institute, 102(3), 170-178. <br>[6] Wasif, N., Maggard, M. A., Ko, C. Y., & Giuliano, A. E. (2010). Invasive lobular vs. ductal breast cancer: a stage-matched comparison of outcomes. Annals of surgical oncology, 17(7), 1862-1869. <br>[7] S. Liu, C. F. Babbs, E. Delp, “Multiresolution detection of spiculated lesions in digital mammograms”, IEEE Transactions on Image Processing 10 (6), 2001,pp. 874–884. <br>[8] E. A. Rashed, I. A. Ismail, S. I. Zaki., “Multiresolution mammogram analysis in multilevel decomposition”. Pattern Recognition Letters 28, 2007, pp.286–292. <br>[9] A. Oliver, Automatic mass segmentation in mammographic images. PhD thesis, Universitat de Girona (2004) <br>[10] Campos, L. F. A. ; Barros, A. K. ; Silva, A. C. “Independent Component Analysis and Neural Networks Applied for Classification of Malignant, Benign and Normal Tissue in Digital Mammography”, In: Special Issue - Methods of Information in Medicine, v. 46, p. 212-215, 2007. <br>[11] Braz , G. Jr., E. C. Silva, A. C. Paiva and A. C. Silva, “Breast Tissues Classification Based on the Application of Geostatistical Features and Wavelet Transform”, In: International Special Topic Conference on Information Technology Applications in Biomedicine, ITAB 2007, 6th, 227-230, 2007. <br>[12] Domínguez, A. Rojas. Nandi, A. K. “Detection of masses in mammograms using enhanced multilevel thresholding segmentation and region selection based on rank”, In: Proceedings of the fifth conference on Proceeding of the Fifth IASTED International Conference: biomedical engineering. 2007 <br>[13] Campos, L. F. A.; Costa, D. D.; Barros, A. 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Calcification Classification in Mammograms Using Decision Trees