{"id":6365,"date":"2020-04-29T14:47:04","date_gmt":"2020-04-29T21:47:04","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=6365"},"modified":"2021-03-10T14:48:11","modified_gmt":"2021-03-10T22:48:11","slug":"explanable-by-design-approach-for-covid-19-classification-via-ct-scan","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/04\/29\/explanable-by-design-approach-for-covid-19-classification-via-ct-scan\/","title":{"rendered":"Explanable- by-design approach for COVID-19 classification via CT-scan"},"content":{"rendered":"<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">This paper presents a new eXplainable Deep Learning (XDL) approach to detect COVID-19 from CT. The authors suggest this new approach is more sensitive and the performance surpasses other state-of-the-art approaches such as the baseline Deep Neural Network approach. It produce highly interpretable results which may be helpful for the early detection of the disease by specialists.<\/span><\/li>\n<\/ul>\n<p><i><span style=\"font-weight: 400\">Angelov and Soares. (April, 29 2020). Explanable- by-design approach for COVID-19 classification via CT-scan. Pre-print downloaded Apr 29 from <\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.04.24.20078584\"><span style=\"font-weight: 400\">https:\/\/doi.org\/10.1101\/2020.04.24.20078584<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents a new eXplainable Deep Learning (XDL) approach to detect COVID-19 from CT. The authors suggest this new approach is more sensitive and the performance surpasses other state-of-the-art approaches such as the baseline Deep Neural Network approach. It produce highly interpretable results which may be helpful for the early detection of the disease&#8230;<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/04\/29\/explanable-by-design-approach-for-covid-19-classification-via-ct-scan\/\">Read more<\/a><\/div>\n","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[6],"tags":[],"topic":[19],"class_list":["post-6365","post","type-post","status-publish","format-standard","hentry","category-article-summary","topic-testing-and-treatment"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/6365","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/comments?post=6365"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/6365\/revisions"}],"predecessor-version":[{"id":6366,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/6365\/revisions\/6366"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=6365"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=6365"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=6365"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=6365"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}