Monmouth Junction, NJ, United States of America

Lin Hong


Average Co-Inventor Count = 2.4

ph-index = 5

Forward Citations = 111(Granted Patents)


Company Filing History:


Years Active: 2008-2012

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10 patents (USPTO):Explore Patents

Title: Innovations by Lin Hong in Medical Imaging Technology

Introduction

Lin Hong is a prominent inventor based in Monmouth Junction, NJ (US), known for his significant contributions to medical imaging technology. He holds a total of 10 patents, showcasing his expertise and innovative spirit in the field.

Latest Patents

Among his latest patents is a method and system for nodule feature extraction using background contextual information in chest x-ray images. This invention aims to improve the detection of false positives in nodule candidates by utilizing contextual vessel tree information defined within the chest x-ray image. Features are extracted for each nodule candidate based on this background contextual information, allowing for a more accurate determination of whether each candidate is a false positive or a genuine nodule. Another notable patent focuses on feature processing for lung nodules in computer-assisted diagnosis. This method employs a Hough transform to extract features that better distinguish nodules from the background. By accumulating evidence associated with a region, the Hough transform provides a feature score without requiring a specific boundary shape, enhancing the accuracy of nodule detection.

Career Highlights

Lin Hong has worked with esteemed organizations such as Siemens Medical Solutions USA, Inc. and Siemens Aktiengesellschaft. His experience in these companies has allowed him to develop and refine his innovative ideas in medical imaging.

Collaborations

Throughout his career, Lin has collaborated with notable professionals, including Hong Shen and Shuping Qing. These partnerships have contributed to the advancement of his research and inventions.

Conclusion

Lin Hong's work in medical imaging technology exemplifies the impact of innovation in healthcare. His patents reflect a commitment to improving diagnostic accuracy and patient outcomes.

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