Hong Kong, China

Ngai Nick Alex Wong


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Ngai Nick Alex Wong: Innovator in Machine Learning and Imaging Technologies

Introduction

Ngai Nick Alex Wong is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the fields of machine learning and imaging technologies. With a total of 2 patents, Wong's work focuses on advancing medical imaging techniques and improving disease detection processes.

Latest Patents

Wong's latest patents include a "Method and system for reflectance imaging of peripheral nerves" and a "Weakly-supervised system, method and workflow for processing whole slide image for disease detection." The first patent describes methods and systems useful for machine learning-assisted imaging and detection of peripheral nerves through reflectance imaging spectroscopy. This innovative method can be conducted label-free and in real-time. The second patent addresses the challenges of manual annotation in generating training and testing datasets for machine learning. It presents a machine-learning model capable of detecting carcinoma from whole slide images by processing average cellular features, thus eliminating the need for costly pixelwise labeling.

Career Highlights

Wong has worked with esteemed institutions such as The Hong Kong Polytechnic University and The Chinese University of Hong Kong. His research and inventions have significantly impacted the medical field, particularly in enhancing diagnostic capabilities through advanced imaging techniques.

Collaborations

Wong has collaborated with notable colleagues, including Jung Sun Yoo and Ho Yin Martin Yeung. Their joint efforts have contributed to the development of innovative solutions in the realm of medical imaging and machine learning.

Conclusion

Ngai Nick Alex Wong is a distinguished inventor whose work in machine learning and imaging technologies continues to pave the way for advancements in medical diagnostics. His contributions are vital in improving the accuracy and efficiency of disease detection methods.

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