Qihua Dong

Title: Qihua Dong: Innovator in Medical Image Segmentation

Introduction

Qihua Dong is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the field of medical imaging, particularly in the area of image segmentation. His innovative approach combines advanced techniques to enhance the accuracy and effectiveness of medical image analysis.

Latest Patents

Qihua Dong holds a patent for a groundbreaking invention titled "Weakly-supervised 3D medical image segmentation using geometric prior and contrastive similarity." This patent presents a weakly-supervised framework designed to segment three-dimensional (3D) medical images. The framework incorporates geometric prior and contrastive similarity to improve the distinguishability of organs, especially in the presence of complex shapes and image artifacts, such as low-contrast tissues. The training process utilizes images with bounding-box annotations, and the geometric prior is constructed using point-cloud representations, which offer more detailed and flexible supervision compared to traditional volume representations. Additionally, the use of contrastive similarity aids in effectively distinguishing low-contrast tissues from the background, enhancing the overall segmentation process.

Career Highlights

Qihua Dong is affiliated with the City University of Hong Kong, where he continues to advance his research and development in medical imaging technologies. His work has garnered attention for its innovative methodologies and practical applications in healthcare.

Collaborations

Qihua Dong collaborates with Jing Liao, contributing to the advancement of medical imaging techniques and fostering innovation in their field.

Conclusion

Qihua Dong's contributions to medical image segmentation exemplify the impact of innovative thinking in healthcare technology. His patent reflects a significant advancement in the ability to analyze complex medical images, ultimately benefiting patient care and medical research.