首页> Theranostics> <sup>18</sup>F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia.

<sup>18</sup>F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia.

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第一作者： Hebei,Li

第一单位： Department of Nuclear Medicine, Peking University People's Hospital, Beijing 100044, China.;Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States of America.

作者： Hebei,Li ^[1] ; Chongrui,Xu ^[2] ; Bowen,Xin ^[2] ; Chaojie,Zheng ^[2] ; Yunyun,Zhao ^[3] ; Keji,Hao ^[3] ; Qian,Wang ^[3] ; Richard L,Wahl ^[4] ; Xiuying,Wang ^[2] ; Yun,Zhou ^[4]

作者单位： Department of Nuclear Medicine, Peking University People's Hospital, Beijing 100044, China.;Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States of America. ^[1] School of Computer Science, the University of Sydney, NSW 2006, Australia. ^[2] Department of Nuclear Medicine, Peking University People's Hospital, Beijing 100044, China. ^[3] Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States of America. ^[4]

关键词 18F-FDG PET/CT bone marrow involvement machine learning radiomics relapsed leukemia