{"id":41379,"date":"2023-11-20T00:59:08","date_gmt":"2023-11-20T06:59:08","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/ct-lymph-nodes-pub\/"},"modified":"2023-11-20T00:59:08","modified_gmt":"2023-11-20T06:59:08","slug":"ct-lymph-nodes-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/ct-lymph-nodes-pub\/","title":{"rendered":"CT-LYMPH-NODES-PUB"},"template":"","class_list":["post-41379","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p>Roth, H. R., Lu, L., Seff, A., Cherry, K. M., Hoffman, J., Wang, S., Liu, J., Turkbey, E., &amp; Summers, R. M. (2014). <strong>A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations<\/strong>. In Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014 (pp. 520\u2013527). Springer International Publishing. <a href=\"https:\/\/doi.org\/10.1007\/978-3-319-10404-1_65\">https:\/\/doi.org\/10.1007\/978-3-319-10404-1_65<\/a><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1007\/978-3-319-10404-1_65","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/41379","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=41379"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}