{"id":6051,"date":"2017-07-20T10:57:30","date_gmt":"2017-07-20T09:57:30","guid":{"rendered":"http:\/\/vicorob.udg.edu\/?p=6051"},"modified":"2017-07-20T10:57:30","modified_gmt":"2017-07-20T09:57:30","slug":"case-level-detection-of-mammographic-masses","status":"publish","type":"post","link":"https:\/\/vicorob.udg.edu\/ca\/case-level-detection-of-mammographic-masses\/","title":{"rendered":"Case-level detection of mammographic masses"},"content":{"rendered":"<h4><strong><span style=\"color: #008000;\">Doctoral thesis <\/span><\/strong><em>&#8220;Case-level detection of mammographic masses&#8221;<\/em><\/h4>\n<p>By<span style=\"color: #333333;\"><strong> Meritxell Tortajada Gim\u00e9nez<br \/>\n<\/strong><\/span><\/p>\n<p>Supervised by<strong> Jordi Freixenet and Robert Mart\u00ed<br \/>\n<\/strong><\/p>\n<p>&nbsp;<\/p>\n<h3><strong>Abstract<\/strong><\/h3>\n<p>This thesis is focused on the automatic detection of masses in FFDM images by using case-level information which includes bilateral, temporal and\/or ipsilateral information. As a \ufb01rst step, FFDM images are preprocessed to improve image quality before working on the proper detection framework. A novel enhancement method is applied to compensate the thickness reduction in peripheral edges of the breast in FFDM. Following, B-Splines image registration with A\ufb03ne initialisation is used to obtain bilateral and temporal information that is incorporated in the detection stage of the whole process. This registration approach is considered the optimal one that provides useful and usable case-level information among several investigated registration methods. Finally, CC\/MLO correspondence approach based on using curved epipolar lines is used in the FP stage. Ipsilateral information allows to distinguish between real (when CC\/MLO lesion correspondence exists) and non-real (when there is no CC\/MLO lesion correspondence) masses. Furthermore, in order to add breast density information to the detection process, di\ufb00erent methods for breast density assessment are analysed. Both, qualitative and quantitative methods are proposed and evaluated. Initial results show a better performance of the multi-image CAD approach relative to the single-image CAD approach. Sensitivity increases and the number of FPs is reduced.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Doctoral thesis &#8220;Case-level detection of mammographic masses&#8221; By Meritxell Tortajada Gim\u00e9nez Supervised by Jordi Freixenet and Robert Mart\u00ed &nbsp; Abstract This thesis is focused on the automatic detection of masses in FFDM images by using case-level information which includes bilateral, temporal and\/or ipsilateral information. As a \ufb01rst step, FFDM images are preprocessed to improve image&hellip;&nbsp;<a href=\"https:\/\/vicorob.udg.edu\/ca\/case-level-detection-of-mammographic-masses\/\" rel=\"bookmark\"><span class=\"screen-reader-text\">Case-level detection of mammographic masses<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":6052,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[12,58],"tags":[],"class_list":["post-6051","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-scientific-results"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Case-level detection of mammographic masses - Vicorob<\/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:\/\/vicorob.udg.edu\/case-level-detection-of-mammographic-masses\/\" \/>\n<meta property=\"og:locale\" content=\"ca_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Case-level detection of mammographic masses - Vicorob\" \/>\n<meta property=\"og:description\" content=\"Doctoral thesis &#8220;Case-level detection of mammographic masses&#8221; By Meritxell Tortajada Gim\u00e9nez Supervised by Jordi Freixenet and Robert Mart\u00ed &nbsp; Abstract This thesis is focused on the automatic detection of masses in FFDM images by using case-level information which includes bilateral, temporal and\/or ipsilateral information. 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