This inventor holds 2 USPTO granted patents and 4 published patent applications. Top assignee: Lunit Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations by Chan-Young Ock
Introduction
Chan-Young Ock is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of medical image analysis, particularly through his innovative methods and systems. With a total of 2 patents, Ock is recognized for his advancements in utilizing machine learning for pathology image analysis.
Latest Patents
Ock's latest patents include a "Method and system for analyzing pathology image." This invention provides a method for analyzing a pathology image, which is performed by at least one processor. The process includes acquiring a pathology image, inputting it into a machine learning model, and acquiring an analysis result from the model. The machine learning model is trained using a training data set generated from two different pathology data sets.
Another significant patent is the "Method and system for analyzing pathological image." This method involves receiving a pathological image and detecting objects associated with medical information using a machine learning model. The analysis result is generated based on the detection, and medical information about specific regions in the image is outputted based on this analysis.
Career Highlights
Chan-Young Ock is currently associated with Lunit Inc., a company that focuses on developing AI-powered medical imaging solutions. His work at Lunit has positioned him as a key player in the intersection of technology and healthcare.
Collaborations
Ock has collaborated with notable colleagues, including Kyunghyun Paeng and Donggeun Yoo. Their combined expertise contributes to the innovative projects at Lunit Inc.
Conclusion
Chan-Young Ock's contributions to medical image analysis through his patents reflect his commitment to advancing healthcare technology. His work continues to influence the field and improve diagnostic processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
