Yeongmo Kim

Title: Yeongmo Kim - Innovator in Medical Image Segmentation

Introduction

Yeongmo Kim is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of medical imaging through his innovative work in deep learning models. His expertise lies in developing advanced technologies that enhance the accuracy and efficiency of medical image segmentation.

Latest Patents

Yeongmo Kim holds a patent for an "Apparatus and method for generating medical image segmentation deep-learning model, and medical image segmentation deep-learning model generated therefrom." This invention includes a medical image segmentation deep-learning model generation apparatus that features a training data generation and allocation unit. This unit is designed to create a training dataset by utilizing segmentation result values obtained from inputting medical images into an original deep-learning model. The model also incorporates a learning control unit that acquires temporary weights and updates them through a process of primary and secondary learning, ensuring continuous improvement in segmentation accuracy. He has 1 patent to his name.

Career Highlights

Throughout his career, Yeongmo Kim has worked with esteemed institutions such as Seoul National University and Hodooai Lab Inc. His work has been instrumental in advancing the capabilities of medical imaging technologies, making significant strides in the application of deep learning in healthcare.

Collaborations

Yeongmo Kim has collaborated with notable colleagues, including Jungwoo Lee and Sungyeob Han. Their combined efforts have contributed to the development of innovative solutions in the field of medical imaging.

Conclusion

Yeongmo Kim's contributions to medical image segmentation through deep learning models highlight his role as a key innovator in the field. His work continues to influence advancements in medical technology, improving diagnostic processes and patient outcomes.