{"id":43045,"date":"2023-11-20T03:06:52","date_gmt":"2023-11-20T09:06:52","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/osteosarcoma-tumor-assessment-pub-1\/"},"modified":"2023-11-20T03:06:52","modified_gmt":"2023-11-20T09:06:52","slug":"osteosarcoma-tumor-assessment-pub-1","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/osteosarcoma-tumor-assessment-pub-1\/","title":{"rendered":"OSTEOSARCOMA-TUMOR-ASSESSMENT-PUB-1"},"template":"","class_list":["post-43045","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p>Arunachalam, H. B., Mishra, R., Armaselu, B., Daescu, O., Martinez, M., Leavey, P., Rakheja, D., Cederberg, K., Sengupta, A., &amp; Ni\u2019suilleabhain, M. (2016). <strong>COMPUTER AIDED IMAGE SEGMENTATION AND CLASSIFICATION FOR VIABLE AND NON-VIABLE TUMOR IDENTIFICATION IN OSTEOSARCOMA.<\/strong> In Biocomputing 2017. Proceedings of the Pacific Symposium. WORLD SCIENTIFIC. <a href=\"https:\/\/doi.org\/10.1142\/9789813207813_0020\">https:\/\/doi.org\/10.1142\/9789813207813_0020<\/a><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1142\/9789813207813_0020","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/43045","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=43045"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}