Learn More
Human actions can be represented by the trajectories of skeleton joints. Traditional methods generally model the spatial structure and temporal dynamics of human skeleton with hand-crafted features and recognize human actions by well-designed classifiers. In this paper, considering that recurrent neural network (RNN) can model the long-term contextual(More)
The radiometric normalization of multi-temporal satellite optical images of the same terrain is necessary for land cover change detection e.g. relative differences. In previous studies, ground reference data or pseudo invariant features (PIFs) were used in the radiometric rectification of multi-temporal images. Ground reference data are costly and difficult(More)
PURPOSE By monitoring bone metastases with sequential [(18)F]fluorodeoxyglucose positron-emission tomography/computed tomography ([(18)F]FDG-PET/CT) imaging, this study investigates the clinical relevance of [(18)F]FDG uptake features of bone metastases with various radiographic appearances. PATIENTS AND METHODS Bone metastases were found in 67 of 408(More)
Partial volume (PV) effects degrade the quantitative accuracy of SPECT brain images. In this paper, we extended a PV compensation (PVC) method originally developed for brain PET, the geometric transfer matrix (GTM) method, to brain SPECT using iterative reconstruction-based compensations. In the GTM method a linear transform between the true regional(More)
AIMS Despite the widespread use of self-medication among the child population and the potential harm it can do, up-to-date epidemiological data on self-medication are sparse worldwide. The aim was to investigate the prevalence and correlates of self-medication use among non-institutionalized children in Germany, focusing on the paediatric self-medications(More)
Rough set theory has been extensively discussed in the domain of machine learning and data mining. Pawlak’s rough set theory offers a formal theoretical framework for attribute reduction and rule learning from nominal data. However, this model is not applicable to numerical data, which widely exist in real-world applications. In this work, we extend this(More)
Nonsyndromic cleft lip with or without a cleft palate (NSCL/P) is among the most common human congenital birth defects and imposes a substantial physical and financial burden on affected individuals. Here, we conduct a case-control-based GWAS followed by two rounds of replication; we include six independent cohorts from China to elucidate the genetic(More)
The aim of this study was to assess the performance of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) versus dedicated contrast-enhanced CT (CECT) in the detection of metastatic liver disease. All patients that presented to our Institution with suspected metastatic liver disease who underwent 18F-FDG PET/CT and CECT(More)
BACKGROUND AND AIMS Lung cancer is a multifactorial disease. Xeroderma pigmentosum group D (XPD) and X-ray repair cross-complementing 1 (XRCC1) genes are 2 important susceptibility genes related to lung cancer. In this study, we explored the correlation between genetic polymorphisms in XPD and XRCC1 and the risk of non-small cell lung cancer (NSCLC) in the(More)
OBJECTIVE CXCR4 is a chemokine with multiple effects on the immune system. In murine lupus models, we demonstrated that monocytes, neutrophils, and B cells overexpressed CXCR4 and that its ligand, CXCL12, was up-regulated in diseased kidneys. We undertook this study to determine whether CXCR4 expression was increased in peripheral blood leukocytes from(More)