{"id":42625,"date":"2023-11-20T02:41:36","date_gmt":"2023-11-20T08:41:36","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/lgg-1p19qdeletion-pub\/"},"modified":"2023-11-20T02:41:36","modified_gmt":"2023-11-20T08:41:36","slug":"lgg-1p19qdeletion-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/lgg-1p19qdeletion-pub\/","title":{"rendered":"LGG-1P19QDELETION-PUB"},"template":"","class_list":["post-42625","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p>Akkus, Z., Ali, I., Sedl\u00e1\u0159, J., Agrawal, J. P., Parney, I. F., Giannini, C., &amp; Erickson, B. J. (2017). <strong>Predicting Deletion of Chromosomal Arms 1p\/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence.<\/strong> In Journal of Digital Imaging (Vol. 30, Issue 4, pp. 469\u2013476). Springer Science and Business Media LLC. <a href=\"https:\/\/doi.org\/10.1007\/s10278-017-9984-3\">https:\/\/doi.org\/10.1007\/s10278-017-9984-3<\/a> .\u00a0PMCID:\u00a0PMC5537096<\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1007\/s10278-017-9984-3","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/42625","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=42625"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}