Xiaoyong Wang

Title: Xiaoyong Wang and Machine Learning for Medical Imaging

Introduction

Xiaoyong Wang is an inventor based in Los Angeles, California. His patent work includes applying machine learning to the analysis of medical images, with a focus on identifying the anatomical structures shown in each image.

Latest Patents

Wang is associated with 1 patent, titled “System and Method for Improved Medical Images.” The invention describes acquiring a series of medical images of a subject and using a computer system to analyze each image with a machine-learning technique. The system classifies images according to the anatomical structures they depict, supporting the organization and interpretation of medical imaging data.

Career Highlights

Wang’s listed patent work connects machine-learning methods with medical imaging. The patent identifies the University of California as the company or institution with which he works.

Collaborations

Pechin Lo and Jonathan Goldin are listed as Wang’s coworkers. Their names provide context for his professional connections, though the supplied information does not specify their roles in the patent.

Conclusion

Xiaoyong Wang’s patent highlights an approach to classifying medical images by anatomical content using machine learning, reflecting the intersection of computational methods and medical imaging.