Bairu Pan

Title: Bairu Pan and a Genetic Fuzzy-Tree Method for Diabetic Retinopathy Detection.

Introduction

Bairu Pan is an inventor associated with Nantong University in Jiangsu, China. His listed patent concerns a method for detecting diabetic retinopathy by combining retinal-image analysis, deep learning, fuzzy decision trees, and genetic optimization.

Latest Patents

Pan’s listed patent is “Depth Network Detection Method for Diabetic Retinopathy Based on Genetic Fuzzy Tree.” The method first enhances retinal images to emphasize lesion areas while compressing normal areas. It then uses a U-net model to segment retinal blood vessels and their tips. The segmented images and real diagnosis results are used to train an interpretable fuzzy decision tree. Next, the tree’s weights are encoded, and multiple decision trees are combined and optimized using a genetic algorithm. Finally, an accuracy index dynamically adjusts a penalty term in the loss function. Pan is credited with 1 patent.

Career Highlights

Pan’s listed invention applies a sequence of image-processing and machine-learning techniques to diabetic retinopathy detection. Its design combines vessel segmentation with an interpretable decision model and genetic optimization, aiming to support analysis of retinal images.

Collaborations

Pan’s listed coworkers include Weiping Ding and Haipeng Wang. The available information associates his work with Nantong University.

Conclusion

Bairu Pan’s listed patent brings together retinal-image enhancement, U-net segmentation, fuzzy decision trees, and genetic algorithms in a method for diabetic retinopathy detection.