Chuansheng Liu

Title: Chuansheng Liu and a Genetic Fuzzy-Tree Method for Diabetic Retinopathy Detection.

Introduction

Chuansheng Liu is an inventor associated with Nantong University in Jiangsu, China. His listed patent concerns an approach to detecting diabetic retinopathy by combining retinal-image processing, deep learning, fuzzy decision trees, and genetic optimization.

Latest Patents

Liu’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 diagnosis results are used to train an interpretable fuzzy decision tree. A genetic algorithm encodes and optimizes multiple decision trees, while an accuracy index dynamically adjusts a penalty term in the loss function. The stated aim is to support diabetic retinopathy detection through an interpretable model. The supplied data lists 1 patent.

Career Highlights

The available information identifies Liu’s association with Nantong University and his work on a patent application focused on automated retinal-image analysis. The described method brings together image enhancement, vessel segmentation, interpretable decision-making, and genetic optimization.

Collaborations

Liu’s listed coworkers include Weiping Ding and Haipeng Wang. The supplied information does not specify their individual roles in the patent or project.

Conclusion

Chuansheng Liu’s listed invention combines deep-learning image segmentation with an interpretable, genetically optimized fuzzy-tree approach to diabetic retinopathy detection.