Zhengzhou, China

Yuankun Fu

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yuankun Fu. Retrieved from https://idiyas.com/inventor/yuankun-fu

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 of Yuankun Fu in Retinal Image Processing.

Introduction

Yuankun Fu is an accomplished inventor based in Zhengzhou, China. He has made significant contributions to the field of retinal image processing, showcasing his expertise through innovative methods and devices.

Latest Patents

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

Career Highlights

Yuankun Fu is affiliated with Henan University of Technology, where he continues to advance his research and development in the field of image processing. His work has garnered attention for its innovative approach and practical applications in medical imaging.

Collaborations

Yuankun Fu collaborates with notable colleagues, including Liang Zhao and Chuan Zhou, who contribute to his research endeavors and enhance the impact of his inventions.

Conclusion

Yuankun Fu's innovative work in retinal image processing exemplifies the potential of technology to improve medical imaging techniques. His contributions are paving the way for advancements in this critical field.

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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