Use of deep learning-based radiomics to differentiate Parkinson's disease patients from normal controls: a study based on [ 18 F]FDG PET imaging.

Xiaoming SunJingjie GeLanlan LiQi ZhangWei LinYue ChenPing WuLikun YangChuantao ZuoJie-Hui Jiang

Published in: European radiology (2022)

F]FDG PET images helps clinicians to diagnose PD and PD subgroups from normal controls. A prospective two-center study showed that the DLR method provides greater diagnostic accuracy.

Keyphrases

pet imaging
deep learning
positron emission tomography
pet ct
end stage renal disease
ejection fraction
newly diagnosed
computed tomography
convolutional neural network
palliative care
machine learning
optical coherence tomography
magnetic resonance imaging
lymph node metastasis