Seoul, South Korea

Taebum Lee

This inventor holds 1 USPTO granted patent. Top assignee: Lunit Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Taebum Lee. Retrieved from https://idiyas.com/inventor/taebum-lee

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Taebum Lee: Inventor in Pathological Image Analysis

Introduction

Taebum Lee is an inventor based in Seoul, South Korea, whose work includes technology for analyzing pathological slide images. His patent describes computational methods for classifying cells and tissues and examining image regions for cellular components.

Latest Patents

Lee is associated with 1 patent: “Method and Apparatus for Analyzing Pathological Slide Images.” The invention describes a computing apparatus with a processor that analyzes a pathological slide image, classifies cells or tissues into types, and divides the image into subpatches based on the classification. It then analyzes those subpatches to provide information about components of cells within them.

Career Highlights

Lee is associated with Lunit Inc., a company working in medical artificial intelligence. His patented work focuses on computational analysis of pathological images, including classification, segmentation, and the analysis of cellular components.

Collaborations

Lee’s listed coworkers include Jeongun Ryu and Mohammad Mostafavi. Their shared professional context connects them with work at Lunit Inc.

Conclusion

Taebum Lee’s patent reflects an approach to computational pathology that combines image classification and subpatch analysis to extract information about cells and tissues.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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