This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Seoul National 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:
2 out of 1,789 
Years Active: 2026
Title: Innovations of Yongju Lee in Pathology Analysis
Introduction
Yongju Lee is a prominent inventor based in Goyang, South Korea. He has made significant contributions to the field of pathology through his innovative methods and apparatus for analyzing pathology patterns of whole-slide images. His work is particularly relevant in the context of advancing diagnostic techniques using deep learning technologies.
Latest Patents
Yongju Lee holds a patent titled "Methods and apparatus for analyzing pathology patterns of whole-slide images based on graph deep learning." This invention involves a comprehensive approach that includes several key steps. The process begins with a whole-slide image (WSI) compression step, which compresses the WSI into a superpatch graph. Following this, a graph neural networks (GNN) analysis step embeds node features and context features into the superpatch graph through a GNN model, calculating contributions for each node and edge. The biomarker acquisition step classifies and groups the superpatch graph according to these contributions, generating connected graphs and acquiring environmental graph biomarkers for each group. Finally, the diagnostic information extraction step provides diagnostic information on the WSI based on the environmental graph biomarker for each group.
Career Highlights
Yongju Lee is affiliated with Seoul National University, where he continues to engage in research and development in the field of pathology and deep learning. His innovative work has positioned him as a key figure in the intersection of technology and medical diagnostics.
Collaborations
Yongju Lee collaborates with notable colleagues such as Sunghoon Kwon and Kyoungseob Shin. Their combined expertise enhances the research and development efforts in their respective fields.
Conclusion
Yongju Lee's contributions to the field of pathology through his innovative patent demonstrate the potential of deep learning technologies in medical diagnostics. His work not only advances the understanding of pathology patterns but also paves the way for future innovations in healthcare.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile