{"id":42627,"date":"2023-11-20T02:41:38","date_gmt":"2023-11-20T08:41:38","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/lgg-1p19qdeletion-pub-1\/"},"modified":"2023-11-20T02:41:38","modified_gmt":"2023-11-20T08:41:38","slug":"lgg-1p19qdeletion-pub-1","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/lgg-1p19qdeletion-pub-1\/","title":{"rendered":"LGG-1P19QDELETION-PUB-1"},"template":"","class_list":["post-42627","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p>Erickson, B. J., Korfiatis, P., Akkus, Z., Kline, T., &amp; Philbrick, K. (2017).<strong> Toolkits and Libraries for Deep Learning. <\/strong>In Journal of Digital Imaging (Vol. 30, Issue 4, pp. 400\u2013405). Springer Science and Business Media LLC. <a href=\"https:\/\/doi.org\/10.1007\/s10278-017-9965-6\">https:\/\/doi.org\/10.1007\/s10278-017-9965-6<\/a><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1007\/s10278-017-9965-6","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/42627","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_citation"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=42627"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}