San Jose, CA, United States of America

Erkang Cheng


 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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2 patents (USPTO):Explore Patents

Title: Erkang Cheng: Innovator in Spine Localization Technology

Introduction

Erkang Cheng is a notable inventor based in San Jose, CA, who has made significant contributions to the field of medical imaging. His work primarily focuses on innovative methods for spine vertebra localization and segmentation using advanced 3D volumetric data techniques. With a total of 2 patents to his name, Cheng is recognized for his expertise and dedication to improving medical technology.

Latest Patents

Cheng's latest patents include a groundbreaking method for learning-based spine vertebra localization and segmentation in 3D CT. This novel system enhances the segmentation of the spine by utilizing 3D volumetric data. The method consists of several key steps: an extracting step that detects the spine centerline and the spine canal centerline, a localization step that identifies the centers of vertebrae and intervertebral discs, and a segmentation step that applies background and foreground constraints for each vertebra digit. This innovative approach significantly improves the accuracy and efficiency of spinal imaging.

Career Highlights

Erkang Cheng is currently employed at Broncus Medical Inc., where he continues to develop and refine his innovative techniques in medical imaging. His work has garnered attention in the medical community, contributing to advancements in patient care and diagnostic accuracy.

Collaborations

Cheng collaborates with talented professionals in his field, including Lav Rai and Henky Wibowo. These partnerships enhance the development of innovative solutions in medical technology.

Conclusion

Erkang Cheng is a prominent inventor whose work in spine localization technology is paving the way for advancements in medical imaging. His contributions are vital to improving diagnostic methods and patient outcomes in healthcare.

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