Inversion of Fault Geometric Parameters Based on Mixture Density Networks: A Case Study of the 2013 Ms7.0 Lushan Earthquake in China

Zhou, Lixuan; Xu, Caijun

doi:10.1007/s00024-020-02639-1

Cited by 2 publications

(1 citation statement)

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“…Human specimens have long played an important role as a nonrenewable and precious resource for medical theory in the process of teaching and scientific research [ 1 ]. Due to many factors such as preservative preservation conditions and cadaver sources, there is an abnormal lack of cadaveric specimens for teaching and scientific research, and the preservatives are toxic and harmful, which seriously affect people's physical and mental health [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Application and Visualization of Human 3D Anatomy Teaching for Healthy People Based on a Hybrid Network Model

Yin

Zhang

Dai

2022

Journal of Healthcare Engineering

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With the development of computer technology, information technology, and 3D reconstruction technology of the medical human body, 3D virtual digital human body technology for human health has been widely used in various fields of medicine, especially in teaching students of application and anatomy. Its advantage is that it can view 3D human anatomy models from any angle and can be cut in any direction. In this paper, we propose an improved algorithm based on a hybrid density network and an element-level attention mechanism. The hybrid density network is used to generate feasible hypotheses for multiple 3D poses, solve the ambiguity problem in pose reasoning from 2D to 3D, and improve the performance of the network by adding the AReLU function combined with an element-wise attention mechanism. Teaching students in anatomy makes students’ learning more convenient and teachers’ teaching explanations more vivid. Comparative experiments show that the accuracy of 3D human pose estimation using a single image input is better than the other two-stage methods.

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Section: Introductionmentioning

confidence: 99%