Jingjing Li

Title: Innovations by Jingjing Li in Retinal Image Processing.

Introduction

Jingjing Li is a prominent inventor based in Zhengzhou, China. She has made significant contributions to the field of retinal image processing. Her innovative approach combines advanced algorithms and neural networks to enhance the quality of retinal images.

Latest Patents

Jingjing Li holds a patent for a "Method and device for parallel processing of retinal images." This patent describes a method that includes optimizing an objective function with a chaotic supply-demand algorithm to enhance a real retinal image. It also involves synthesizing a virtual retinal image through a hybrid image generation method. Furthermore, she establishes a parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural 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

Jingjing Li is affiliated with Henan University of Technology, where she continues to advance her research in image processing technologies. Her work has garnered attention for its innovative applications in medical imaging.

Collaborations

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

Conclusion

Jingjing Li's contributions to retinal image processing exemplify the intersection of technology and healthcare. Her innovative methods and dedication to research continue to pave the way for advancements in medical imaging.