Company Filing History:
Years Active: 2022-2024
Title: Ruoping Li: Innovator in Medical Image Analysis
Introduction
Ruoping Li is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of medical image analysis, focusing on improving the efficiency and accuracy of medical imaging technologies. With a total of 2 patents, his work is paving the way for advancements in healthcare technology.
Latest Patents
Ruoping Li's latest patents include innovative methods and systems for training learning networks specifically designed for medical image analysis. The first patent outlines a training method that involves acquiring an original training data set for a learning network with a predetermined structure. This method includes pre-training the learning network, evaluating it for defects, and performing data augmentation to refine the training process. This approach reduces the complexity of medical image processing while enhancing the efficiency and accuracy of analyses.
The second patent focuses on a medical image analysis method that utilizes navigation processing. This method involves receiving a medical image from an imaging device, determining a navigation trajectory based on analysis requirements, and extracting image features using a learning network. The analysis result is then determined using a second learning network, which further streamlines the medical image analysis process.
Career Highlights
Ruoping Li is currently associated with Shenzhen Keya Medical Technology Corporation, where he continues to innovate in the field of medical technology. His work is instrumental in developing advanced solutions that address critical challenges in medical imaging.
Collaborations
Ruoping Li collaborates with talented individuals such as Junhuan Li and Pengfei Zhao, contributing to a dynamic team focused on pushing the boundaries of medical technology.
Conclusion
Ruoping Li's contributions to medical image analysis through his innovative patents are making a significant impact in the healthcare sector. His work exemplifies the importance of technological advancements in improving medical diagnostics and patient care.