{"id":9268,"date":"2014-03-12T11:19:54","date_gmt":"2014-03-12T10:19:54","guid":{"rendered":"http:\/\/vicorob.udg.edu\/?p=2248"},"modified":"2014-03-12T11:19:54","modified_gmt":"2014-03-12T10:19:54","slug":"doctoral-thesis-computer-aided-lesion-detection-and-segmentation-on-breast-ultrasound","status":"publish","type":"post","link":"https:\/\/vicorob.udg.edu\/ca\/doctoral-thesis-computer-aided-lesion-detection-and-segmentation-on-breast-ultrasound\/","title":{"rendered":"Computer-aided lesion detection and segmentation on breast ultrasound"},"content":{"rendered":"<h4>Doctoral thesis &#8220;<em>Computer-aided lesion detection and segmentation on breast ultrasound&#8221;<\/em><\/h4>\n<p>&nbsp;<br \/>\nBy<strong> Gerard Pons Rodr\u00edguez.<\/strong><br \/>\nSupervised by<strong> Joan Mart\u00ed Bonmat\u00ed, Robert Mart\u00ed Marly.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<h3>Abstract<\/h3>\n<p>This thesis deals with the detection, segmentation and classification of lesions on sonography. The contribution of the thesis is the development of a new Computer-Aided Diagnosis (CAD) framework capable of detecting, segmenting, and classifying breast abnormalities on sonography automatically. Firstly, an adaption of a generic object detection method, Deformable Part Models (DPM), to detect lesions in sonography is proposed. The method uses a machine learning technique to learn a model based on Histogram of Oriented Gradients (HOG). This method is also used to detect cancer lesions directly, simplifying the traditional cancer detection pipeline. Secondly, different initialization proposals by means of reducing the human interaction in a lesion segmentation algorithm based on Markov Random Field (MRF)-Maximum A Posteriori (MAP) framework is presented. Furthermore, an analysis of the influence of lesion type in the segmentation results is performed. Finally, the inclusion of elastography information in this segmentation framework is proposed, by means of modifying the algorithm to incorporate a bivariant formulation. The proposed methods in the different stages of the CAD framework are assessed using different datasets, and comparing the results with the most relevant methods in the state-of-the-art<\/p>\n<p><a href=\"http:\/\/www.tdx.cat\/handle\/10803\/129453\">+info<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Doctoral thesis &#8220;Computer-aided lesion detection and segmentation on breast ultrasound&#8221; &nbsp; By Gerard Pons Rodr\u00edguez. Supervised by Joan Mart\u00ed Bonmat\u00ed, Robert Mart\u00ed Marly. &nbsp; Abstract This thesis deals with the detection, segmentation and classification of lesions on sonography. The contribution of the thesis is the development of a new Computer-Aided Diagnosis (CAD) framework capable of&hellip;&nbsp;<a href=\"https:\/\/vicorob.udg.edu\/ca\/doctoral-thesis-computer-aided-lesion-detection-and-segmentation-on-breast-ultrasound\/\" rel=\"bookmark\"><span class=\"screen-reader-text\">Computer-aided lesion detection and segmentation on breast ultrasound<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":9123,"comment_status":"closed","ping_status":"closed","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-9268","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>Computer-aided lesion detection and segmentation on breast ultrasound - 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\/doctoral-thesis-computer-aided-lesion-detection-and-segmentation-on-breast-ultrasound\/\" \/>\n<meta property=\"og:locale\" content=\"ca_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Computer-aided lesion detection and segmentation on breast ultrasound - Vicorob\" \/>\n<meta property=\"og:description\" content=\"Doctoral thesis &#8220;Computer-aided lesion detection and segmentation on breast ultrasound&#8221; &nbsp; By Gerard Pons Rodr\u00edguez. 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