{"id":42815,"date":"2023-11-20T02:52:58","date_gmt":"2023-11-20T08:52:58","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/mimm_sbilab-pub\/"},"modified":"2023-11-20T02:52:58","modified_gmt":"2023-11-20T08:52:58","slug":"mimm_sbilab-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/mimm_sbilab-pub\/","title":{"rendered":"MIMM_SBILAB-PUB"},"template":"","class_list":["post-42815","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p>Gupta, A., Duggal, R., Gehlot, S., Gupta, R., Mangal, A., Kumar, L., Thakkar, N., &amp; Satpathy, D. (2020). <strong>GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images.<\/strong> Medical Image Analysis, 65, 101788. <a href=\"https:\/\/doi.org\/10.1016\/j.media.2020.101788\">https:\/\/doi.org\/10.1016\/j.media.2020.101788<\/a><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1016\/j.media.2020.101788","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/42815","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=42815"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}