{"id":45941,"date":"2023-11-20T05:44:02","date_gmt":"2023-11-20T11:44:02","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/prostatex-seg-hires-pub\/"},"modified":"2024-04-30T19:34:21","modified_gmt":"2024-05-01T00:34:21","slug":"prostatex-seg-hires-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/prostatex-seg-hires-pub\/","title":{"rendered":"PROSTATEX-SEG-HIRES-PUB"},"template":"","class_list":["post-45941","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p>Meyer, A., Chlebus, G., Rak, M., Schindele, D., Schostak, M., van Ginneken, B., Schenk, A., Meine, H., Hahn, H. K., Schreiber, A., &amp; Hansen, C. (2020). <strong>Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI<\/strong>. Computer Methods and Programs in Biomedicine, 105821. <a href=\"https:\/\/doi.org\/10.1016\/j.cmpb.2020.105821\">https:\/\/doi.org\/10.1016\/j.cmpb.2020.105821<\/a><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1016\/j.cmpb.2020.105821","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/45941","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=45941"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}