Hong Kong, China

Jung Sun Yoo


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Jung Sun Yoo: Innovator in Machine Learning and Medical Imaging

Introduction

Jung Sun Yoo is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the fields of machine learning and medical imaging, holding a total of 2 patents. His innovative work focuses on enhancing imaging techniques for detecting peripheral nerves and carcinoma.

Latest Patents

Jung Sun Yoo's latest patents include a "Method and system for reflectance imaging of peripheral nerves." This invention involves methods and systems useful for machine learning-assisted imaging and detection of peripheral nerves through reflectance imaging spectroscopy. Notably, this method can be conducted label-free and in real-time. Another significant patent is the "Weakly-supervised system, method and workflow for processing whole slide image for disease detection." This invention addresses the impracticality and expense of manual annotation in generating training and testing datasets for machine learning. The machine-learning model developed by Yoo processes average cellular features of cells identified on whole slide images, allowing for efficient training and testing without costly pixelwise labeling.

Career Highlights

Throughout his career, Jung Sun Yoo has worked with esteemed institutions such as The Hong Kong Polytechnic University and The Chinese University of Hong Kong. His work has been instrumental in advancing the capabilities of machine learning in medical diagnostics.

Collaborations

Some of his notable coworkers include Ngai Nick Alex Wong and Ho Yin Martin Yeung. Their collaborative efforts have contributed to the success of various projects in the realm of medical imaging and machine learning.

Conclusion

Jung Sun Yoo's innovative contributions to machine learning and medical imaging demonstrate his commitment to advancing technology in healthcare. His patents reflect a deep understanding of the challenges in medical diagnostics and offer practical solutions for improving patient outcomes.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…