{"id":41129,"date":"2023-11-20T00:43:00","date_gmt":"2023-11-20T06:43:00","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/aapm-rt-mac-pub\/"},"modified":"2023-11-20T00:43:00","modified_gmt":"2023-11-20T06:43:00","slug":"aapm-rt-mac-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/aapm-rt-mac-pub\/","title":{"rendered":"AAPM-RT-MAC-PUB"},"template":"","class_list":["post-41129","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<div>Cardenas, C.E., Mohamed, A.S.R., Yang J., Gooding, M., Veeraraghavan, H., Kalpathy-Cramer J., Ng S.P., Ding Y., Wang J., Lai S.Y., Fuller C.D., &amp; Sharp, G. (2020) <strong>Head and neck cancer patient images for determining auto-segmentation accuracy in T2-weighted magnetic resonance imaging through expert manual segmentations<\/strong>. Med. Phys, <span>47(5):2317-2322<\/span>. <span><span>DOI: <\/span> <a href=\"https:\/\/doi.org\/10.1002\/mp.13942\">https:\/\/doi.org\/10.1002\/mp.13942<\/a>.<\/span><\/div>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1002\/mp.13942","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/41129","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=41129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}