Kai-Wen Chuang

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OBJECTIVE The objective of this article is to provide a practical illustrated review of PET/CT in the imaging evaluation of transitional cell carcinoma. CONCLUSION Local evaluation of the primary tumor in patients with transitional cell carcinoma on PET is often limited by the obscuring effect of excreted FDG, but assessment of metabolic activity may(More)
OBJECTIVE To determine if a correlation exists between the semiquantitative bone scintigraphy index (SQBSI) and serum tartrateresistant acid phosphatase 5b (TRACP5b) activity, a novel osteoclast marker that has been shown to be useful for monitoring bone metastasis in breast cancer (BC) patients. PARTICIPANTS AND METHODS Among patients enrolled in 2(More)
OBJECTIVES Sonography is a noninvasive, office-based diagnostic tool often used for evaluation of subfertile men. Previous studies have suggested that a resistive index (RI) greater than 0.6 is associated with impaired spermatogenesis. We sought to validate this threshold in a urologic patient population presenting for infertility evaluation. METHODS We(More)
Biometric identification system has high efficiency, high recognition rate and comfortable to the user's operating characteristics. Palmprint recognition is considered the most viable and reliable biometric recognition technique owing to its merits, such as low cost, user friendliness, high speed and high accuracy. Region-of-Interest (ROI) segmentation of(More)
BACKGROUND The aim of this study is to evaluate whether geographic variations in the prevalence of late-stage chronic kidney disease (CKD) exist and are associated with incidence rates of renal cell carcinoma (RCC), upper tract urothelial carcinoma (UTUC), or lower tract urothelial carcinoma (LTUC). METHODS Prevalence rates of late-stage CKD for 366(More)
In this paper, an efficient novel strategy simulating time scenes of an outdoor scene is introduced. It is a hybrid approach combining the multiple regression in statistic, the discrete cosine transform, and a look-up table algorithm. First, several color-block images taken at different times of a day were used as the testing images to create the reference(More)
In this paper, a novel strategy for forecasting outdoor scenes is introduced. It is an approach combining the support vector regression in neural network computation, the discrete cosine transform. In 1995, Vapnik first introduced a neural-network algorithm called support vector machine (SVM). During recent years, due to SVM‘s high generalization(More)
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