Yeong Heon Mok

Title: Yeong Heon Mok: Innovator in Medical Image Segmentation

Introduction

Yeong Heon Mok is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of medical imaging through his innovative approaches to deep learning model optimization.

Latest Patents

Yeong Heon Mok holds a patent for a "Deep learning model optimization method and apparatus for medical image segmentation." This patent discloses a method that includes initializing model parameters, updating these parameters using model-agnostic meta-learning (MAML), and applying a gradient descent algorithm to optimize the model for medical image segmentation.

Career Highlights

Yeong Heon Mok is affiliated with Chung Ang University Industry Academic Cooperation, where he applies his expertise in deep learning and medical imaging. His work focuses on enhancing the accuracy and efficiency of medical image analysis through advanced computational techniques.

Collaborations

He collaborates with notable colleagues, including Joon Ki Paik and Yeong Joon Kim, who contribute to his research endeavors in the field of medical imaging.

Conclusion

Yeong Heon Mok's innovative work in deep learning for medical image segmentation showcases his commitment to advancing healthcare technology. His contributions are paving the way for more effective medical imaging solutions.