Suling Xu

Title: Suling Xu: Innovator in Medical Image Segmentation

Introduction

Suling Xu is a prominent inventor based in Zhejiang, China. She has made significant contributions to the field of medical imaging through her innovative approaches and methodologies. Her work focuses on enhancing the accuracy and robustness of medical image segmentation.

Latest Patents

Suling Xu holds a patent for a "Multi-threshold segmentation method for medical images based on improved salp swarm algorithm." This invention discloses a multi-threshold segmentation method that utilizes an improved salp swarm algorithm. The method establishes a two-dimensional histogram using a grayscale image of a medical image and a non-local mean image. A salp swarm algorithm is employed to determine thresholds selected by a Kapur entropy-based threshold method. The algorithm is enhanced through an individual-linked mutation strategy during the threshold selection process to avoid local optimization. This results in optimized segmentation effects on medical images, showcasing advantages such as good robustness and high accuracy.

Career Highlights

Suling Xu is affiliated with Wenzhou University, where she continues to advance her research in medical imaging. Her dedication to innovation in this field has positioned her as a key figure in the development of new technologies that improve medical diagnostics.

Collaborations

Suling Xu has collaborated with notable colleagues, including Pengjun Wang and Songwei Zhao. These partnerships have contributed to the advancement of her research and the successful implementation of her patented methodologies.

Conclusion

Suling Xu's contributions to medical image segmentation through her innovative patent demonstrate her commitment to enhancing healthcare technology. Her work not only improves the accuracy of medical imaging but also showcases the potential of advanced algorithms in medical applications.