Shenzhen, China

Ling Hou

This inventor holds 1 USPTO granted patent. Top assignee: Shenzhen Keya Medical Technology Corporation. Active years: 2024.


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations in Medical Image Analysis by Ling Hou

Introduction

Ling Hou is an accomplished inventor based in Shenzhen, China. He has made significant contributions to the field of medical image analysis through his innovative patent. His work focuses on enhancing the efficiency and accuracy of medical image processing, which is crucial for improving healthcare outcomes.

Latest Patents

Ling Hou holds a patent titled "Methods and systems for training learning network for medical image analysis." This patent describes a comprehensive training method and system for developing a learning network specifically designed for medical image analysis. The method involves acquiring an original training data set, performing pre-training on the learning network, evaluating the network for defects, and applying data augmentation techniques to refine the training process. This innovative approach allows for staged evaluation and training, ultimately reducing complexity and improving the overall effectiveness of medical image analysis.

Career Highlights

Ling Hou is currently associated with Shenzhen Keya Medical Technology Corporation, where he applies his expertise in medical technology. His work at the company emphasizes the importance of advanced training methods in the development of learning networks for medical applications.

Collaborations

Ling collaborates with talented individuals in his field, including Junhuan Li and Ruoping Li. Their combined efforts contribute to the advancement of medical technology and the development of innovative solutions for medical image analysis.

Conclusion

Ling Hou's contributions to medical image analysis through his patent demonstrate his commitment to improving healthcare technology. His innovative methods and systems are paving the way for more efficient and accurate medical image processing, ultimately benefiting the medical community and patients alike.

Profile summary based on public USPTO records.
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