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Seoul, South Korea

Lunit Inc.

USPTO Granted Patents = 66

EPO Patents = 7

Trademarks = 8

Forward Citations = 58

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72 inventors (with patents filed for the assignee):

Donggeun Yoo (14 out of 14 patents)

Dong Geun Yoo (10 out of 10 patents)

Kyung Hyun Paeng (9 out of 9 patents)

4. Hyo-Eun Kim (7 out of 9 patents)

5. Kyunghyun Paeng (6 out of 6 patents)

6. Hyun Jae Lee (5 out of 139 patents)

7. Chanyoung Ock (5 out of 5 patents)

8. Chan Young Ock (5 out of 5 patents)

9. Soo Ick Cho (5 out of 5 patents)

10. Hyeonseob Nam (4 out of 4 patents)

11. Hyeon Seob Nam (4 out of 4 patents)

12. Minje Jang (4 out of 4 patents)

13. Hyo Eun Kim (4 out of 4 patents)

14. Ga Hee Park (4 out of 4 patents)

15. Won Kyung Jung (4 out of 4 patents)

Core Competencies:

Pathological Slide Images

Tumor Detection

Image Segmentation

Machine Learning

Medical Prediction

Biomarker Expression

3D Tomosynthesis

Image Quality Evaluation

Annotation Management

Generative Adversarial Networks

Weakly Supervised Learning

Pneumothorax Detection

66 patents: Sort by Forward Citations

1. D1154645 - Display screen or portion thereof with graphical user interface (2026-10-20),

2. 12725434 - Method and apparatus for analyzing pathological slide images (2026-09-01),

3. 12718359 - Method and apparatus for tumor purity based on pathaological slide image (2026-08-25),

4. 12718119 - Method and system for providing annotation information for target data through hint-based machine learning model (2026-08-25),

5. D1142477 - DISPLAY SCREEN OR PORTION THEREOF WITH TRANSITIONAL GRAPHICAL USER INTERFACE (2026-08-18),

6. 12705733 - Method and apparatus for tumor purity based on pathological slide image (2026-08-11),

7. 12694521 - Apparatus and method for interlocking lesion locations between a guide image and a 3D tomosynthesis images composed of a plurality of 3D image slices (2026-07-28),

8. 12688581 - Method and apparatus for providing information associated with immune phenotypes for pathology slide image (2026-07-21),

9. 12664650 - Method and system for analyzing image (2026-06-23),

10. 12651340 - Method and device for evaluating quality of pathological slide image (2026-06-09),

11. 12608809 - Method and system for measuring size change of target lesion in x-ray image (2026-04-21),

12. 12541815 - Method and device for outputting pathology slide image (2026-02-03),

13. 12530874 - Method and device for analyzing pathological slide image (2026-01-20),

14. 12525337 - Method and apparatus for selecting medical data for annotation (2026-01-13),

15. 12488893 - Method and system for training machine learning model for detecting abnormal region in pathological slide image (2025-12-02),

Company Overview

Lunit Inc., based in Seoul, South Korea, specializes in advanced medical imaging technologies. The company focuses on developing innovative solutions for pathological slide images and tumor detection, leveraging machine learning to enhance image segmentation and medical predictions. Lunit's expertise extends to biomarker expression analysis and 3D tomosynthesis, aiming to improve image quality evaluation in clinical settings. Through its cutting-edge research, Lunit is committed to transforming the landscape of medical diagnostics and patient care.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

66 Patents

#110 in Seoul

#267 in South Korea

#11,177 in the World

Seoul, South Korea

Lunit Inc.

Forward Citations = 58

72 inventors:

Donggeun Yoo (14 out of 14 patents)

Dong Geun Yoo (10 out of 10 patents)

Kyung Hyun Paeng (9 out of 9 patents)

4. Hyo-Eun Kim (7 out of 9 patents)

5. Kyunghyun Paeng (6 out of 6 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Lunit Inc.. Retrieved from https://idiyas.com/company/lunit

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

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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