{"id":43607,"date":"2023-11-20T03:41:01","date_gmt":"2023-11-20T09:41:01","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/sn-am-pub\/"},"modified":"2023-11-20T03:41:01","modified_gmt":"2023-11-20T09:41:01","slug":"sn-am-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/sn-am-pub\/","title":{"rendered":"SN-AM-PUB"},"template":"","class_list":["post-43607","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> In Medical Image Analysis (Vol. 65, p. 101788). Elsevier BV. <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\/43607","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=43607"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}