{"id":49959,"date":"2024-11-15T16:27:44","date_gmt":"2024-11-15T22:27:44","guid":{"rendered":"https:\/\/www.cancerimagingarchive.net\/?post_type=tcia_citation&#038;p=49959"},"modified":"2024-11-15T16:36:39","modified_gmt":"2024-11-15T22:36:39","slug":"c-nmc-2019-pub1","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/c-nmc-2019-pub1\/","title":{"rendered":"C-NMC-2019-PUB1"},"template":"","class_list":["post-49959","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).<em> GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images.<\/em> 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\/49959","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=49959"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}