{"id":41323,"date":"2023-11-20T00:55:33","date_gmt":"2023-11-20T06:55:33","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/hnscc-mif-mihc-comparison-pub\/"},"modified":"2023-11-20T00:55:33","modified_gmt":"2023-11-20T06:55:33","slug":"hnscc-mif-mihc-comparison-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/hnscc-mif-mihc-comparison-pub\/","title":{"rendered":"HNSCC-MIF-MIHC-COMPARISON-PUB"},"template":"","class_list":["post-41323","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p><span>Ghahremani, P., Marino, J., Hernandez-Prera, J., de la Iglesia, J. V., Slebos, R. J., Chung, C. H., &amp; Nadeem, S. (2023). An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment. In: H. Greenspan et al. (eds.): Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023. MICCAI 2023. Lecture Notes in Computer Science, vol 14225, pp. 1\u201310, 2023. Springer, Cham. <\/span><a href=\"https:\/\/urldefense.com\/v3\/__https:\/\/doi.org\/10.1007\/978-3-031-43987-2_68__;!!LFqOYw!pr98-hgCafDMBIaS3xWcNIjjEWRhpybJrdH8CI9zhkT0FYCBsEZpsYZylaoH93xexbztbneRJ6MHpr1U9Q$\">https:\/\/doi.org\/10.1007\/978-3-031-43987-2_68<\/a><span>.<\/span><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1007\/978-3-031-43987-2_68","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/41323","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=41323"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}