{"id":16410,"date":"2016-09-14T12:21:14","date_gmt":"2016-09-14T12:21:14","guid":{"rendered":"http:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/"},"modified":"2016-09-14T12:21:14","modified_gmt":"2016-09-14T12:21:14","slug":"ms-lesions-segmentation-using-k-medoids-and-statistical-features","status":"publish","type":"post","link":"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/","title":{"rendered":"MS lesions segmentation using K-medoids and statistical features"},"content":{"rendered":"<div style=\"text-align:center;direction:rtl\">\n<div style=\"border:1px solid #000000!important;padding:12px!important;overflow:auto!important;background:#ffffff!important;margin-bottom:10px;min-width:300px!important;max-width:500px!important;\"><a href=\"http:\/\/par3.4kia.ir\/info\/40814\/i\/?getppsid=18004\" target=\"_blank\" rel=\"nofollow\"><img src=\"http:\/\/www.takbook.com\/best\/wp-content\/uploads\/2016\/09\/14747_1470237614-1.jpg\" alt=\"MS lesions segmentation using K-medoids and statistical features\" style=\"float:right !important;margin:0 !important;margin-left:10px !important;padding-top:10px !important;width:130px;height:125px;\" \/><\/a><\/p>\n<h3 style=\"font:bold 14px\/1.7 Tahoma!important;margin-top:0px!important;\"><a href=\"http:\/\/par3.4kia.ir\/info\/40814\/i\/?getppsid=18004\" target=\"_blank\" style=\"text-decoration:none!important;color:#195ada!important;\" rel=\"nofollow\">MS lesions segmentation using K-medoids and statistical features<\/a><\/h3>\n<p style=\"font:200 13px\/1.5 Tahoma!important;text-align:justify!important;direction:rtl!important;color:#000000\">Lesions inside white matter of brain are the pathological symbols of MS. These lesions are noticed well in MRI images. Determining and quantitative analysis of these lesions has been an important yet challenging task in recent year. In this paper, we propose a new method for segmenting these lesion in noisy T2-weighted MRI images based on statistical texture features and a variation of conventional k-means clustering, namely, k-medoids clustering algorithm. We compared the performance of our method with two well-known methods in terms of dice metric, specificity and false negative rate (FNR). Results proved outperformance our method in segmenting noisy MRI images&#8230;.<\/p>\n<div style=\"text-align:center\"><a href=\"http:\/\/par3.4kia.ir\/info\/40814\/i\/?getppsid=18004\" target=\"_blank\" style=\"background-color:#195ada!important;color:#ffffff!important;text-decoration:none!important;font-size:20px!important;font-weight:bold!important;padding:6px 10px;font-family:arial;\" rel=\"nofollow\">\u062c\u0632\u0626\u06cc\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \/ \u062f\u0627\u0646\u0644\u0648\u062f<\/a><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>MS lesions segmentation using K-medoids and statistical features Lesions inside white matter of brain are the pathological symbols of MS. These lesions are noticed well in MRI images. Determining and [&#8230;]<\/p>\n","protected":false},"author":1,"featured_media":16411,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"amp_status":""},"categories":[183],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v14.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>MS lesions segmentation using K-medoids and statistical features - \u067e\u0631\u0648\u0698\u0647 \u0647\u0627<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/\" \/>\n<meta property=\"og:locale\" content=\"fa_IR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MS lesions segmentation using K-medoids and statistical features - \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\" \/>\n<meta property=\"og:description\" content=\"MS lesions segmentation using K-medoids and statistical features Lesions inside white matter of brain are the pathological symbols of MS. These lesions are noticed well in MRI images. Determining and [...]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/\" \/>\n<meta property=\"og:site_name\" content=\"\u067e\u0631\u0648\u0698\u0647 \u0647\u0627\" \/>\n<meta property=\"article:published_time\" content=\"2016-09-14T12:21:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.takbook.com\/best\/wp-content\/uploads\/2016\/09\/14747_1470237614.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"404\" \/>\n\t<meta property=\"og:image:height\" content=\"404\" \/>\n<meta name=\"twitter:card\" content=\"summary\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.takbook.com\/best\/#website\",\"url\":\"https:\/\/www.takbook.com\/best\/\",\"name\":\"\\u067e\\u0631\\u0648\\u0698\\u0647 \\u0647\\u0627\",\"description\":\"\\u0645\\u0642\\u0627\\u0644\\u0627\\u062a\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":\"https:\/\/www.takbook.com\/best\/?s={search_term_string}\",\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fa-IR\"},{\"@type\":\"ImageObject\",\"@id\":\"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/#primaryimage\",\"inLanguage\":\"fa-IR\",\"url\":\"https:\/\/www.takbook.com\/best\/wp-content\/uploads\/2016\/09\/14747_1470237614.jpg\",\"width\":404,\"height\":404},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/#webpage\",\"url\":\"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/\",\"name\":\"MS lesions segmentation using K-medoids and statistical features - \\u067e\\u0631\\u0648\\u0698\\u0647 \\u0647\\u0627\",\"isPartOf\":{\"@id\":\"https:\/\/www.takbook.com\/best\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/#primaryimage\"},\"datePublished\":\"2016-09-14T12:21:14+00:00\",\"dateModified\":\"2016-09-14T12:21:14+00:00\",\"author\":{\"@id\":\"https:\/\/www.takbook.com\/best\/#\/schema\/person\/6eae2f7abf01508a3c9f672133c0c748\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/#breadcrumb\"},\"inLanguage\":\"fa-IR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"item\":{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.takbook.com\/best\/\",\"url\":\"https:\/\/www.takbook.com\/best\/\",\"name\":\"\\u062e\\u0627\\u0646\\u0647\"}},{\"@type\":\"ListItem\",\"position\":2,\"item\":{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/\",\"url\":\"https:\/\/www.takbook.com\/best\/ms-lesions-segmentation-using-k-medoids-and-statistical-features\/\",\"name\":\"MS lesions segmentation using K-medoids and statistical features\"}}]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.takbook.com\/best\/#\/schema\/person\/6eae2f7abf01508a3c9f672133c0c748\",\"name\":\"takbook\",\"image\":{\"@type\":\"ImageObject\",\"@id\":\"https:\/\/www.takbook.com\/best\/#personlogo\",\"inLanguage\":\"fa-IR\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/a87e2aa9d1d949de0bedddf7c96062d6?s=96&d=mm&r=g\",\"caption\":\"takbook\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","_links":{"self":[{"href":"https:\/\/www.takbook.com\/best\/wp-json\/wp\/v2\/posts\/16410"}],"collection":[{"href":"https:\/\/www.takbook.com\/best\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.takbook.com\/best\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.takbook.com\/best\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.takbook.com\/best\/wp-json\/wp\/v2\/comments?post=16410"}],"version-history":[{"count":0,"href":"https:\/\/www.takbook.com\/best\/wp-json\/wp\/v2\/posts\/16410\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.takbook.com\/best\/wp-json\/wp\/v2\/media\/16411"}],"wp:attachment":[{"href":"https:\/\/www.takbook.com\/best\/wp-json\/wp\/v2\/media?parent=16410"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.takbook.com\/best\/wp-json\/wp\/v2\/categories?post=16410"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.takbook.com\/best\/wp-json\/wp\/v2\/tags?post=16410"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}