Chang Won Jeong

Title: Chang Won Jeong: Innovator in Medical Image Analysis

Introduction

Chang Won Jeong is a notable inventor based in Jeollabuk-do, South Korea. He has made significant contributions to the field of medical image analysis, holding 2 patents that focus on innovative methods for diagnosing abdominal diseases and supporting multicenter studies.

Latest Patents

One of his latest patents is an "Image analysis method for multicenter study and system thereof." This method involves a multicenter study support system that recruits and selects various agency systems to conduct multicenter studies. It includes distributing an analysis guide and program tailored to the study's purpose and conditions. Each agency system collects analysis data through the provided guide and program, uploading it to the support system, which processes and shares the results with all participating agencies.

Another significant patent is the "Method and apparatus for calculating abdominal disease diagnosis information based on medical image." This method analyzes abdominal diseases by receiving and preprocessing medical images of a patient's abdominal region. It detects multiple analysis candidate regions, sets one as a region of interest (ROI), and calculates a nodule grade based on surface unevenness. Additionally, it computes a cellular heterogeneity coefficient based on pixel homogeneity, ultimately predicting and outputting an abdominal disease value.

Career Highlights

Chang Won Jeong is affiliated with the Wonkwang University Center for Industry-Academy Cooperation. His work focuses on bridging the gap between academic research and practical applications in the medical field. His innovative approaches have the potential to enhance diagnostic accuracy and efficiency in medical imaging.

Collaborations

He collaborates with notable colleagues, including Kwon Ha Yoon and Seung Jin Kim, who contribute to his research and development efforts in medical image analysis.

Conclusion

Chang Won Jeong's contributions to medical image analysis through his patents demonstrate his commitment to advancing healthcare technology. His innovative methods have the potential to significantly impact the diagnosis and treatment of abdominal diseases.