Yang Hsien Lin

Title: Innovations by Yang Hsien Lin in Breast Tumor Detection

Introduction

Yang Hsien Lin is a notable inventor based in Chiayi, Taiwan. He has made significant contributions to the field of medical technology, particularly in the detection of breast tumors. His innovative approach combines advanced imaging techniques with machine learning to enhance diagnostic accuracy.

Latest Patents

Yang Hsien Lin holds a patent for an "Assisted detection model of breast tumor, assisted detection system thereof, and method for assisted detecting breast tumor." This patent describes an assisted detection system that includes an image capturing unit and a non-transitory machine-readable medium. The medium stores a program that, when executed by at least one processing unit, determines the type of breast tumor and predicts the probability of its location. The program consists of several modules, including a reference database obtaining module, a first image preprocessing module, an autoencoder module, a classifying module, a second image preprocessing module, and a comparing module. This innovative system aims to improve the early detection of breast cancer, potentially saving lives.

Career Highlights

Yang Hsien Lin is affiliated with China Medical University Hospital, where he applies his expertise in medical imaging and technology. His work focuses on developing systems that enhance the accuracy and efficiency of breast cancer detection. His dedication to improving healthcare through technology is evident in his research and patent contributions.

Collaborations

Yang has collaborated with notable colleagues, including Tzung-Chi Huang and Ken Ying-Kai Liao. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas in the medical technology field.

Conclusion

Yang Hsien Lin's contributions to breast tumor detection through his patented technology exemplify the intersection of innovation and healthcare. His work not only advances medical technology but also has the potential to significantly impact patient outcomes.