Taichung, Taiwan

Te-Chun Hsieh

This inventor holds 1 USPTO granted patent. Top assignee: China Medical University Hospital. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Te-Chun Hsieh. Retrieved from https://idiyas.com/inventor/te-chun-hsieh

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Te-Chun Hsieh: Innovator in Prostate Cancer Detection

Introduction: Te-Chun Hsieh is a notable inventor based in Taichung, Taiwan. He has made significant contributions to the field of medical technology, particularly in the area of cancer detection. His innovative work focuses on utilizing deep learning neural networks to enhance the identification of prostate cancer bone metastasis.

Latest Patents: Te-Chun Hsieh holds a patent for a "System of deep learning neural network in prostate cancer bone metastasis identification based on whole body bone scan images." This system includes a pre-processing module that receives input whole body bone scan images and a neural network module that detects the presence of prostate cancer bone metastasis. The neural network module consists of a chest portion network module and a pelvis portion network module, both designed to segment training images and categorize lesions of cancerous bone metastasis.

Career Highlights: Te-Chun Hsieh is affiliated with China Medical University Hospital, where he applies his expertise in medical imaging and artificial intelligence. His work has the potential to significantly improve the accuracy and efficiency of prostate cancer diagnosis.

Collaborations: Te-Chun Hsieh collaborates with esteemed colleagues, including Da-Chuan Cheng and Chia-Chuan Liu, who contribute to his research efforts in the field of medical technology.

Conclusion: Te-Chun Hsieh's innovative approach to cancer detection through deep learning neural networks exemplifies the intersection of technology and healthcare. His contributions are paving the way for advancements in medical diagnostics and improving patient outcomes.

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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