{"id":45867,"date":"2023-11-20T05:39:38","date_gmt":"2023-11-20T11:39:38","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/rider-lungct-seg-data\/"},"modified":"2023-11-20T05:39:38","modified_gmt":"2023-11-20T11:39:38","slug":"rider-lungct-seg-data","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/rider-lungct-seg-data\/","title":{"rendered":"RIDER-LUNGCT-SEG-DATA"},"template":"","class_list":["post-45867","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Data Citation","tcia_citation_text":"<p><span><span>Wee, L., Aerts, H., Kalendralis, P., &amp; Dekker, A. (2020). <strong>RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach<\/strong> [Data set]. The Cancer Imaging Archive. <a href=\"https:\/\/doi.org\/10.7937\/tcia.2020.jit9grk8\">https:\/\/doi.org\/10.7937\/tcia.2020.jit9grk8<\/a> <\/span><\/span><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.7937\/tcia.2020.jit9grk8","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/45867","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=45867"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}