This inventor holds 1 USPTO granted patent. Top assignee: National Chung Cheng University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations in Esophageal Cancer Detection by Yu-lin Liu
Introduction
Yu-lin Liu is a notable inventor based in Chiayi, Taiwan. He has made significant contributions to the field of medical imaging, particularly in the detection of esophageal cancer. His innovative approach utilizes hyperspectral imaging technology to enhance diagnostic accuracy for physicians.
Latest Patents
Yu-lin Liu holds a patent for a method titled "Method for detecting object of esophageal cancer in hyperspectral imaging." This method involves obtaining hyperspectral imaging information from a reference image. It then converts an input image based on this information to create a hyperspectral image. Through image analysis, a plurality of hyperspectral eigenvalues is derived. The process continues with principal component analysis (PCA) to obtain dimensionality reduction eigenvalues. A convolution operation is performed on these eigenvalues to extract a feature image from the input image. Finally, the method generates a bounded image by matching and comparing it with a sample image, assisting physicians in gastrointestinal image diagnosis.
Career Highlights
Yu-lin Liu is affiliated with National Chung Cheng University, where he contributes to research and development in medical imaging technologies. His work has garnered attention for its potential impact on early cancer detection and diagnosis.
Collaborations
Yu-lin Liu collaborates with esteemed colleagues, including Hsiang-chen Wang and Ting-chun Men. Their combined expertise enhances the research efforts in the field of hyperspectral imaging.
Conclusion
Yu-lin Liu's innovative methods in hyperspectral imaging represent a significant advancement in the early detection of esophageal cancer. His contributions are vital for improving diagnostic processes and ultimately enhancing patient care.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile