Zhengzhou, China

Yuanyuan Liu

This inventor holds 1 USPTO granted patent. Top assignee: Henan University of Technology. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yuanyuan Liu. Retrieved from https://idiyas.com/inventor/yuanyuan-liu-i0vvbph0

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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% Patents Active = 100.0

Average Co-Inventor Count = 16.0

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Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Yuanyuan Liu in Retinal Image Processing

Introduction

Yuanyuan Liu is an accomplished inventor based in Zhengzhou, China. She has made significant contributions to the field of retinal image processing, showcasing her expertise through her innovative patent.

Latest Patents

Yuanyuan Liu holds a patent for a "Method and device for parallel processing of retinal images." This method involves optimizing an objective function with a chaotic supply-demand algorithm to enhance a real retinal image. It also includes synthesizing a virtual retinal image using a hybrid image generation method. Furthermore, she has established a parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional network model based on both the virtual retinal image and the enhanced real retinal image. The final classification result is achieved by integrating outputs from multiple parallel models.

Career Highlights

Yuanyuan Liu is affiliated with Henan University of Technology, where she continues to advance her research and development in image processing technologies. Her work has garnered attention for its innovative approach and practical applications in the medical field.

Collaborations

Yuanyuan Liu collaborates with notable colleagues, including Liang Zhao and Chuan Zhou, who contribute to her research endeavors.

Conclusion

Yuanyuan Liu's innovative work in retinal image processing exemplifies her commitment to advancing technology in healthcare. Her contributions are paving the way for future developments in this critical area.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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