Background: When treating patients with coronary artery disease and concurrent renal concerns, we often encounter a conundrum: how to achieve a clearer view of vascular details while minimizing the contrast and radiation doses during percutaneous coronary intervention (PCI). Our goal is to use deep learning (DL) to create a real-time roadmap for guiding PCI. To this end, segmentation, a critical first step, paves the way for detailed vascular analysis.
View Article and Find Full Text PDFLevels of persistent organic pollutants (POPs), including PAHs, PCBs, DDTs, and PBDEs, were measured in sediment collected from along the Taiwan coast and compared to previous studies. The dominant POPs were PAHs, followed by PCBs, PBDEs, and DDTs. The highest levels of PAHs and PCBs were found in sediment from harbors in southern Taiwan, which are surrounded by densely populated areas and affected by multiple industrial activities.
View Article and Find Full Text PDFIEEE Trans Cybern
December 2021
Visual acuity (VA) measurement is utilized to test a subject's acuteness of vision. Conventional VA measurement requires a physician's assistance to ask a subject to speak out or wave a hand in response to the direction of an optotype. To avoid this repetitive testing procedure, different types of automatic VA tests have been developed in recent years by adopting contact-based responses, such as pushing buttons or keyboards on a device.
View Article and Find Full Text PDFComput Intell Neurosci
August 2018
Motion related human activity recognition using wearable sensors can potentially enable various useful daily applications. So far, most studies view it as a stand-alone mathematical classification problem without considering the physical nature and temporal information of human motions. Consequently, they suffer from data dependencies and encounter the curse of dimension and the overfitting issue.
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