In a telemedicine diagnosis system, the emergence of 3D imaging enables doctors to make
clearer judgments, and its accuracy also directly affects doctors' diagnosis of the disease. In …

BP neural network optimized by the genetic algorithm is used to realize the real-time and
accurate interaction of soft tissue grasping during virtual surgery. In the model, the soft tissue …

Telemedicine plays an important role in Corona Virus Disease 2019 (COVID-19). The virtual
surgery simulation system, as a key component in telemedicine, requires to compute in real …

Fast recognition of elevator buttons is a key step for service robots to ride elevators
automatically. Although there are some studies in this field, none of them can achieve real …

A new model is proposed in this paper on color edge detection that uses the second
derivative operators and data fusion mechanism. The secondorder neighborhood shows the …

Background and objectives Virtual training has emerged as an exceptionally effective
approach for training healthcare practitioners in the field of vascular intervention surgery. By …

3D reconstruction based on single view aims to reconstruct the entire 3D shape of an object
from one perspective. When existing methods reconstruct the mesh surface of complex …

In recent years, it has been evident that internet is the most effective means of transmitting
information in the form of documents, photographs, or videos around the world. The purpose …

It is different for the liquid tank semi-trailer to keep roll stability during turning or emergency
voidance, and that may cause serious accidents. Although the scholars did lots of research …

With the advent of Machine and Deep Learning algorithms, medical image diagnosis has a
new perception of diagnosis and clinical treatment. Regrettably, medical images are more …