Jiangsu, China

Zhe Liu

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Jiangsu University. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhe Liu. Retrieved from https://idiyas.com/inventor/zhe-liu-hroofqcr

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

Calculating rank
USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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2 patents (USPTO):Explore Patents

Title: Innovations of Zhe Liu in Image Classification and Cancer Detection

Introduction

Zhe Liu is an accomplished inventor based in Jiangsu, China. He has made significant contributions to the fields of image classification and cancer detection through his innovative patents. With a total of 2 patents, Liu's work focuses on enhancing the capabilities of deep learning technologies.

Latest Patents

Liu's latest patents include an "Apparatus and method for image classification and segmentation based on feature-guided network, device, and medium." This invention addresses the limitations of existing image classification and segmentation models by utilizing a feature-guided classification network and a feature-guided segmentation network. These networks enhance local features and extract global features, resulting in improved performance and robustness in image processing tasks.

Another notable patent is the "Comprehensive detection device and method for cancerous region." This invention employs a cancerous region detection network trained on preprocessed CT image data to accurately predict the location of cancerous regions. Additionally, it incorporates a clinical analysis network to assess cancer risk levels, ultimately providing a comprehensive determination of cancerous regions with high accuracy.

Career Highlights

Zhe Liu is affiliated with Jiangsu University, where he continues to advance research in deep learning and its applications in medical imaging. His work has garnered attention for its potential to improve diagnostic accuracy in cancer detection.

Collaborations

Liu collaborates with notable colleagues, including Yuqing Song and Kaifeng Xue, who contribute to his research endeavors and innovations.

Conclusion

Zhe Liu's contributions to image classification and cancer detection exemplify the impact of innovative thinking in technology and healthcare. His patents reflect a commitment to enhancing the effectiveness of deep learning applications, paving the way for future advancements in these critical fields.

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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