Zhengzhou, China

Shimeng Shi

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shimeng Shi. Retrieved from https://idiyas.com/inventor/shimeng-shi

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 Shimeng Shi in Retinal Image Processing

Introduction

Shimeng Shi is a notable inventor based in Zhengzhou, China. He has made significant contributions to the field of retinal image processing. His innovative approach has led to the development of a unique method that enhances the analysis of retinal images.

Latest Patents

Shimeng Shi holds a patent for a "Method and device for parallel processing of retinal images." This patent describes a comprehensive method for optimizing an objective function using 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 established 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

Shimeng Shi is affiliated with Henan University of Technology, where he continues to advance his research in image processing technologies. His work is pivotal in improving the accuracy and efficiency of retinal image analysis.

Collaborations

He collaborates with notable colleagues, including Liang Zhao and Chuan Zhou, who contribute to his research endeavors.

Conclusion

Shimeng Shi's innovative methods in retinal image processing demonstrate his commitment to advancing technology in this critical field. His contributions are expected to have a lasting impact on medical imaging and diagnostics.

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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