Decoding the dopamine transporter imaging for the differential diagnosis of parkinsonism using deep learning

PURPOSE: This work attempts to decode the discriminative information in dopamine transporter (DAT) imaging using deep learning for the differential diagnosis of parkinsonism. METHODS: This study involved 1017 subjects who underwent DAT PET imaging ([11C]CFT) including 43 healthy subjects and 974 par...

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Veröffentlicht in:	EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 2022-07, Vol.49 (8), p.2798-2811
Hauptverfasser:	Zhao, Yu, Wu, Ping, Wu, Jianjun, Brendel, Matthias, Lu, Jiaying, Ge, Jingjie, Tang, Chunmeng, Hong, Jimin, Xu, Qian, Liu, Fengtao, Sun, Yimin, Ju, Zizhao, Lin, Huamei, Guan, Yihui, Bassetti, Claudio, Schwaiger, Markus, Huang, Sung-Cheng, Rominger, Axel, Wang, Jian, Zuo, Chuantao, Shi, Kuangyu
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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