首页|Data on Robotics Reported by Researchers at Chinese Academy of Sciences (Guidewire Endpoint Detection Based On Pixel-adjacent Relation During Robot-assisted Intravascular Catheterization: In Vivo Mammalian Models)
Data on Robotics Reported by Researchers at Chinese Academy of Sciences (Guidewire Endpoint Detection Based On Pixel-adjacent Relation During Robot-assisted Intravascular Catheterization: In Vivo Mammalian Models)
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NETL
NSTL
Wiley
New research on Robotics is the subject of a report. According to news reporting out of Shenzhen, People’s Republic of China, by NewsRx editors, research stated, “Existing surgical guidewire endpoint localization methods in X-ray images face challenges owing to their small size, simple appearance, nonrigid nature of objects, low signal-to-noise ratio of X-ray images, and imbalance between the number of guidewire and background pixels, which lead to errors in surgical navigation. An eight-neighborhood-based method for increasing the localization accuracy of guidewire endpoint to improve the safety of interventional procedures is proposed herein.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China (NSFC), National Key Research and Development Plan, Shenzhen Natural Science Foundation, Shenzhen Institute of Advanced Technology, Shenzhen Advanced Animal Study Service Center, AAS.
ShenzhenPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsChinese Academy of Sciences
NETL
NSTL
Wiley
