{"id":45835,"date":"2023-11-20T05:37:47","date_gmt":"2023-11-20T11:37:47","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/dicom-glioma-seg-pub\/"},"modified":"2023-11-20T05:37:47","modified_gmt":"2023-11-20T11:37:47","slug":"dicom-glioma-seg-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/dicom-glioma-seg-pub\/","title":{"rendered":"DICOM-GLIOMA-SEG-PUB"},"template":"","class_list":["post-45835","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p><span>Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J. S., Freymann, J. B., Farahani, K., &amp; Davatzikos, C. (2017). <strong>Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features.<\/strong> Scientific Data, 4(1). <a href=\"https:\/\/doi.org\/10.1038\/sdata.2017.117\">https:\/\/doi.org\/10.1038\/sdata.2017.117<\/a> <a href=\"https:\/\/www.nature.com\/articles\/sdata2017117\">https:\/\/www.nature.com\/articles\/sdata2017117<\/a> <\/span><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1038\/sdata.2017.117","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/45835","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=45835"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}