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Radiomic Features, the Bridge Between CT and FDG PET Images: Estimating the PET Parameters of Lymph Node from CT with Deep Learning Method

Number of pages: 28 Posted: 16 Jun 2019

Hongwei Si, Hongwei Si, Xinzhong Hao, Lianyu Zhang, Liuhai Shen, Ping Wu, Hua Tan, Lichao Sun, Jianzhong Cao, Li Li, Huan Xiao, Zhifang Wu, Xiaofeng Li and Sijin Li

Anhui Medical University - First Affiliated Hospital, Anhui Medical University - First Affiliated Hospital, Shanxi Medical University - Department of Nuclear Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - State Key Laboratory of Molecular Oncology, Anhui Medical University - First Affiliated Hospital, Shanxi Medical University - Department of Nuclear Medicine, University of Texas at Houston, Health Science Center at Houston (UTHealth), School of Biomedical Informatics, Center for Computational Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - State Key Laboratory of Molecular Oncology, Cancer Hospital of Shanxi Province, Shanxi Medical University - Department of Nuclear Medicine, Anhui Medical University - First Affiliated Hospital, Shanxi Medical University - Department of Nuclear Medicine, Jinan University - Shenzhen People’s Hospital and Shanxi Medical University - Department of Nuclear Medicine

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Hongwei Si

Anhui Medical University - First Affiliated Hospital

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Scholarly Papers (1)

Radiomic Features, the Bridge Between CT and FDG PET Images: Estimating the PET Parameters of Lymph Node from CT with Deep Learning Method

Abstract: