{"id":49961,"date":"2024-11-15T16:28:53","date_gmt":"2024-11-15T22:28:53","guid":{"rendered":"https:\/\/www.cancerimagingarchive.net\/?post_type=tcia_citation&#038;p=49961"},"modified":"2024-11-15T16:36:51","modified_gmt":"2024-11-15T22:36:51","slug":"c-nmc-2019-pub2","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/c-nmc-2019-pub2\/","title":{"rendered":"C-NMC-2019-PUB2"},"template":"","class_list":["post-49961","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p>Gupta, R., Mallick, P., Duggal, R., Gupta, A., &amp; Sharma, O. (2017). <em>Stain Color Normalization and Segmentation of Plasma Cells in Microscopic Images as a Prelude to Development of Computer Assisted Automated Disease Diagnostic Tool in Multiple Myeloma.<\/em> In Clinical Lymphoma Myeloma and Leukemia (Vol. 17, Issue 1, p. e99). Elsevier BV. <a href=\"https:\/\/doi.org\/10.1016\/j.clml.2017.03.178\">https:\/\/doi.org\/10.1016\/j.clml.2017.03.178<\/a><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1016\/j.clml.2017.03.178","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/49961","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=49961"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}