Jyun-Sin Wu

Title: Innovations of Jyun-Sin Wu in Lipid Droplet Segmentation

Introduction

Jyun-Sin Wu is a notable inventor based in Tainan, Taiwan. He has made significant contributions to the field of medical imaging, particularly in the segmentation of lipid droplets in pathological slice images. His innovative approach utilizes machine learning to enhance the accuracy of image analysis in medical diagnostics.

Latest Patents

Jyun-Sin Wu holds a patent for a segmentation method for lipid droplets in pathological slice images. The patent describes a method that involves inputting a pathological slice image into a machine learning model to generate a region map and a boundary map. The region map contains multiple regional probability values, while the boundary map includes various boundary probability values. This method allows for the effective segmentation of multiple lipid droplets from the pathological slice image based on these probability values.

Career Highlights

Jyun-Sin Wu is affiliated with National Cheng Kung University, where he contributes to research and development in the field of medical imaging. His work has implications for improving diagnostic techniques and enhancing the understanding of lipid-related diseases.

Collaborations

He has collaborated with esteemed colleagues such as Pau-Choo Chung and Hung-Wen Tsai, further enriching his research endeavors and expanding the impact of his innovations.

Conclusion

Jyun-Sin Wu's work in lipid droplet segmentation represents a significant advancement in medical imaging technology. His innovative methods have the potential to improve diagnostic accuracy and contribute to better healthcare outcomes.