Kyung Hyun Sung

Title: Innovations in Medical Imaging by Kyung Hyun Sung

Introduction

Kyung Hyun Sung is an accomplished inventor based in Los Angeles, CA. He has made significant contributions to the field of medical imaging, particularly in the diagnosis and classification of prostate lesions. With a total of 3 patents, his work is at the forefront of utilizing advanced imaging techniques to improve patient outcomes.

Latest Patents

One of his latest patents is titled "Systems, methods and media for automatically segmenting and diagnosing prostate lesions using multi-parametric magnetic resonance imaging data." This invention provides a system that receives mp-MRI data depicting a prostate, including T2w data and ADC data. The system is programmed to utilize a trained convolutional neural network (CNN) to identify prostate lesions based on output values that indicate the likelihood of a particular class of lesion. It also predicts the aggressiveness of the lesion, enhancing diagnostic accuracy.

Another notable patent is "Deep-learning-based cancer classification using a hierarchical classification framework." This automatic classification method distinguishes between indolent and clinically significant carcinoma using mp-MRI imaging. By employing a CNN, the framework avoids the limitations of traditional methods that require handcrafted features and precise delineation of lesion boundaries. This innovation is trained on previously acquired mp-MRI data and is applied to new patient images for accurate cancer classification.

Career Highlights

Kyung Hyun Sung is affiliated with the University of California, where he continues to advance research in medical imaging technologies. His work has garnered attention for its potential to revolutionize how prostate cancer is diagnosed and classified.

Collaborations

He collaborates with notable colleagues, including Novena Rangwala and Holden H Wu, who contribute to the research and development of innovative imaging solutions.

Conclusion

Kyung Hyun Sung's contributions to medical imaging through his patents demonstrate his commitment to improving cancer diagnosis and treatment. His innovative approaches are paving the way for more accurate and efficient medical practices.