Taipei, Taiwan

Ting-Hui Wu


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: Innovations in Medical Imaging by Ting-Hui Wu

Introduction

Ting-Hui Wu is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of medical imaging, particularly through his innovative approaches to analyzing medical images. With a total of two patents to his name, Wu's work focuses on improving the detection and analysis of cancer through advanced neural network models.

Latest Patents

Wu's latest patents include a medical image analyzing system and method that enhance the identification of pancreatic cancer. The first patent involves inputting at least one patient image into a first model of a neural network module to determine the positions and ranges of organs and tumors. This process is followed by inputting the results into multiple second models to obtain prediction values, ultimately outputting a determined result based on a model number predicting cancer. The automation of processes between the first and second models significantly improves the identification rate of pancreatic cancer. The second patent also focuses on a medical image analyzing system, which crops image patches from processed images and trains a deep learning model to determine whether the patches are cancerous. This method effectively enhances the detection rate of cancer.

Career Highlights

Ting-Hui Wu is affiliated with National Taiwan University, where he continues to advance research in medical imaging technologies. His work is characterized by a strong emphasis on integrating deep learning techniques with medical image analysis, which has the potential to revolutionize cancer detection.

Collaborations

Wu collaborates with notable colleagues such as Wei-Chung Wang and Wei-Chih Liao, contributing to a dynamic research environment that fosters innovation in medical imaging.

Conclusion

Ting-Hui Wu's contributions to medical imaging through his patents demonstrate his commitment to enhancing cancer detection methods. His innovative approaches are paving the way for advancements in the field, ultimately benefiting patient care and outcomes.

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