{"id":42749,"date":"2023-11-20T02:48:45","date_gmt":"2023-11-20T08:48:45","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/lctsc-pub\/"},"modified":"2023-11-20T02:48:45","modified_gmt":"2023-11-20T08:48:45","slug":"lctsc-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/lctsc-pub\/","title":{"rendered":"LCTSC-PUB"},"template":"","class_list":["post-42749","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p><span>Yang, J. , Veeraraghavan, H. , Armato, S. G., Farahani, K. , Kirby, J. S., Kalpathy\u2010Kramer, J. , van Elmpt, W. , Dekker, A. , Han, X. , Feng, X. , Aljabar, P. , Oliveira, B. , van der Heyden, B. , Zamdborg, L. , Lam, D. , Gooding, M. and Sharp, G. C. (2018), <strong>Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017<\/strong>. Med. Phys. <a href=\"https:\/\/doi.org\/10.1002\/mp.13141\">https:\/\/doi.org\/10.1002\/mp.13141<\/a>\u00a0<\/span><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1002\/mp.13141","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/42749","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=42749"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}