{"id":271,"date":"2019-04-10T19:48:00","date_gmt":"2019-04-10T17:48:00","guid":{"rendered":"http:\/\/www.wolter.tech\/wordpress\/?p=271"},"modified":"2020-04-22T19:37:58","modified_gmt":"2020-04-22T17:37:58","slug":"medical-image-analysis","status":"publish","type":"post","link":"https:\/\/www.wolter.tech\/?p=271","title":{"rendered":"Medical Image Analysis"},"content":{"rendered":"\n<p>As coursework for my computer vision class in Leuven I looked into support vector machines on medical data. The task was to locate incisor teeth.<\/p>\n\n\n<div style=\"width: 640px;\" class=\"wp-video\"><video class=\"wp-video-shortcode\" id=\"video-271-1\" width=\"640\" height=\"800\" preload=\"metadata\" controls=\"controls\"><source type=\"video\/mp4\" src=\"https:\/\/www.wolter.tech\/wordpress\/wp-content\/uploads\/2016\/07\/svmSlideingWindow2.mp4?_=1\" \/><a href=\"https:\/\/www.wolter.tech\/wordpress\/wp-content\/uploads\/2016\/07\/svmSlideingWindow2.mp4\">https:\/\/www.wolter.tech\/wordpress\/wp-content\/uploads\/2016\/07\/svmSlideingWindow2.mp4<\/a><\/video><\/div>\n\n\n\n<p>For every window the svm generates the probabilities for a miss and hit. In this example the frame with the largest hit probability was chosen, as all images where known to contain incisors somewhere.<\/p>\n\n\n\n<p>The links below lead to more samples of my work on support vector machines and data-mining:<br><a href=\"http:\/\/www.wolter.tech\/wordpress\/wp-content\/uploads\/2016\/07\/svm.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">More on svms<\/a><br><a href=\"http:\/\/www.wolter.tech\/wordpress\/wp-content\/uploads\/2016\/07\/dataMining.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">More on data-mining<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As coursework for my computer vision class in Leuven I looked into support vector machines on medical data. The task was to locate incisor teeth. For every window the svm generates the probabilities for a miss and hit. In this example the frame with the largest hit probability was chosen, as all images where known &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.wolter.tech\/?p=271\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Medical Image Analysis&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[24,6],"tags":[12],"class_list":["post-271","post","type-post","status-publish","format-standard","hentry","category-all","category-master-projects","tag-machine-learning","entry"],"_links":{"self":[{"href":"https:\/\/www.wolter.tech\/index.php?rest_route=\/wp\/v2\/posts\/271","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wolter.tech\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wolter.tech\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wolter.tech\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wolter.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=271"}],"version-history":[{"count":4,"href":"https:\/\/www.wolter.tech\/index.php?rest_route=\/wp\/v2\/posts\/271\/revisions"}],"predecessor-version":[{"id":419,"href":"https:\/\/www.wolter.tech\/index.php?rest_route=\/wp\/v2\/posts\/271\/revisions\/419"}],"wp:attachment":[{"href":"https:\/\/www.wolter.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=271"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wolter.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=271"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wolter.tech\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=271"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}