{"id":45967,"date":"2023-11-20T05:47:21","date_gmt":"2023-11-20T11:47:21","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/plethora-data\/"},"modified":"2023-11-20T05:47:21","modified_gmt":"2023-11-20T11:47:21","slug":"plethora-data","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/plethora-data\/","title":{"rendered":"PLETHORA-DATA"},"template":"","class_list":["post-45967","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Data Citation","tcia_citation_text":"<p><span>Kiser, K.J., Ahmed, S., Stieb, S.M., Mohamed, A.S.R., Elhalawani, H., Park, P.Y.S., Doyle, N.S., Wang, B.J., Barman, A., Fuller, C.D., Giancardo, L. (2020).\u00a0<em>Data from the <\/em> <strong>Thoracic Volume and Pleural Effusion Segmentations in Diseased Lungs for Benchmarking Chest CT Processing Pipelines (PleThora) <\/strong>[Data set]. The Cancer Imaging Archive.<span>\u00a0<a href=\"https:\/\/doi.org\/10.7937\/tcia.2020.6c7y-gq39\">https:\/\/doi.org\/10.7937\/tcia.2020.6c7y-gq39<\/a> <\/span>.<\/span><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.7937\/tcia.2020.6c7y-gq39","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/45967","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=45967"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}