Taipei, Taiwan

Da-Wei Chang

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.5

ph-index = 1


Company Filing History:


Years Active: 2023-2024

Loading Chart...
2 patents (USPTO):

Title: Da-Wei Chang: Innovator in Medical Image Analysis

Introduction

Da-Wei Chang is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of medical image analysis, particularly in the identification of pancreatic cancer using advanced machine learning techniques. With two patents to his name, Chang is at the forefront of innovation in healthcare technology.

Latest Patents

Chang's latest patents include a medical image analyzing system designed for identifying pancreatic cancer through machine learning. This system involves inputting patient images into a neural network model to determine the positions and ranges of organs and tumors. The results are then processed through additional analysis modules to generate prediction values, ultimately improving the identification rate of pancreatic cancer. Another notable patent focuses on a medical image analyzing method that enhances detection rates by acquiring processed images with segmentation labels, generating image patches, and performing feature analysis to determine cancerous regions effectively.

Career Highlights

Chang is affiliated with National Taiwan University, where he continues to advance research in medical imaging and machine learning. His work has the potential to revolutionize how pancreatic cancer is diagnosed and treated, making significant strides in early detection and patient outcomes.

Collaborations

Chang collaborates with esteemed colleagues such as Wei-Chung Wang and Wei-Chih Liao, contributing to a dynamic research environment that fosters innovation and development in medical technologies.

Conclusion

Da-Wei Chang's contributions to medical image analysis exemplify the impact of innovation in healthcare. His work not only enhances diagnostic capabilities but also paves the way for future advancements in cancer detection and treatment.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…