Yeong Joon Kim

Title: Yeong Joon Kim: Innovator in Medical Image Segmentation

Introduction

Yeong Joon Kim is a prominent inventor based in Hwaseong-si, South Korea. He has made significant contributions to the field of medical imaging through his innovative work in deep learning model optimization.

Latest Patents

Yeong Joon Kim holds a patent for a "Deep learning model optimization method and apparatus for medical image segmentation." This patent discloses a method that includes initializing a model parameter, updating the model parameter using model-agnostic meta-learning (MAML), and applying a gradient descent algorithm to a loss function. The method further involves setting an optimizer parameter, performing one-shot meta-learning, and updating the model parameter by reflecting the updated optimizer parameter. This innovative approach enhances the efficiency and accuracy of medical image segmentation.

Career Highlights

Yeong Joon Kim is affiliated with Chung Ang University Industry Academic Cooperation, where he applies his expertise in deep learning and medical imaging. His work has garnered attention for its potential to improve diagnostic processes in healthcare.

Collaborations

He collaborates with Joon Ki Paik, contributing to advancements in their shared field of research.

Conclusion

Yeong Joon Kim's innovative contributions to deep learning and medical image segmentation highlight his role as a key figure in advancing healthcare technology. His work continues to pave the way for future developments in medical imaging.