Search results for: Ranklets

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Ranklets</title> <meta name="description" content="Search results for: Ranklets"> <meta name="keywords" content="Ranklets"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <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" 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class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Ranklets"> <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> 1</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Ranklets</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Automatic Detection of Mass Type Breast Cancer using Texture Analysis in Korean Digital Mammography</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=E.%20B.%20Jo">E. B. Jo</a>, <a href="https://publications.waset.org/search?q=J.%20H.%20Lee"> J. H. Lee</a>, <a href="https://publications.waset.org/search?q=J.%20Y.%20Park"> J. Y. Park</a>, <a href="https://publications.waset.org/search?q=S.%20M.%20Kim"> S. M. Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, we present an advanced detection technique for mass type breast cancer based on texture information of organs. The proposed method detects the cancer areas in three stages. In the first stage, the midpoints of mass area are determined based on AHE (Adaptive Histogram Equalization). In the second stage, we set the threshold coefficient of homogeneity by using MLE (Maximum Likelihood Estimation) to compute the uniformity of texture. Finally, mass type cancer tissues are extracted from the original image. As a result, it was observed that the proposed method shows an improved detection performance on dense breast tissues of Korean women compared with the existing methods. It is expected that the proposed method may provide additional diagnostic information for detection of mass-type breast cancer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Mass%20Type%20Breast%20Cancer" title="Mass Type Breast Cancer">Mass Type Breast Cancer</a>, <a href="https://publications.waset.org/search?q=Mammography" title=" Mammography"> Mammography</a>, <a href="https://publications.waset.org/search?q=Maximum%20Likelihood%20Estimation%20%28MLE%29" title=" Maximum Likelihood Estimation (MLE)"> Maximum Likelihood Estimation (MLE)</a>, <a href="https://publications.waset.org/search?q=Ranklets" title=" Ranklets"> Ranklets</a>, <a href="https://publications.waset.org/search?q=SVM" title=" SVM"> SVM</a> </p> <a href="https://publications.waset.org/1180/automatic-detection-of-mass-type-breast-cancer-using-texture-analysis-in-korean-digital-mammography" class="btn btn-primary btn-sm">Procedia</a> <a 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Search results for: Ranklets