Publications by authors named "Guan Yue Hong"

This study aims to investigate the effect and mechanism of saikosaponin D on the proliferation, apoptosis, and autophagy of pancreatic cancer Panc-1 cells. The cell counting kit(CCK-8) was used to examine the effects of 7, 10, 13, 16, 19, 22, 25, and 28 μmol·L~(-1) saikosaponin D on the proliferation of Panc-1 cells. Three groups including the control(0 μmol·L~(-1)), low-concentration(10 μmol·L~(-1)) saikosaponin D, and high-concentration(16 μmol·L~(-1)) saikosaponin D groups were designed.

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As a fundamental but difficult topic in computer vision, 3D object segmentation has various applications in medical image analysis, autonomous vehicles, robotics, virtual reality, lithium battery image analysis, etc. In the past, 3D segmentation was performed using hand-made features and design techniques, but these techniques could not generalize to vast amounts of data or reach acceptable accuracy. Deep learning techniques have lately emerged as the preferred method for 3D segmentation jobs as a result of their extraordinary performance in 2D computer vision.

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Objective: To compare the clinical outcomes of hydraulic perfusion pump and traditional water fhushing in percutaneous endoscopic lumbar discectomy.

Methods: From January 2016 to December 2018, 72 patients with lumbar disc herniation failed to conservative treatment were enrolled in this study. The patients were divided into hydraulic perfusion pump group and traditional water flushing group, 36 cases in each group.

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Objective: To investigate the risk factors of non-surgical vertebral fracture after percutaneous kyphoplasty (PKP) in patients with single segment thoracolumbar osteoporotic vertebral compression fracture(OVCF).

Methods: The clinical data of 219 patients with single segment thoracolumbar osteoporotic vertebral compression fracture underwent percutaneous kyphoplasty from January 2010 to December 2015 were retrospectively analyzed. There were 29 cases in non-surgical vertebral body fracture group with 7 males and 22 females aged (67.

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