Jinzhu Su

Title: Innovations in Tumor Segmentation: The Contributions of Jinzhu Su

Introduction

Jinzhu Su is an accomplished inventor based in Wuxi, China. He has made significant contributions to the field of medical imaging, particularly in the area of tumor segmentation. His innovative work focuses on improving the accuracy and reliability of tumor detection in pathological images.

Latest Patents

Jinzhu Su holds a patent for a "Segmentation method for tumor regions in pathological images of clear cell renal cell carcinoma based on deep learning." This method involves data acquisition and pre-processing, the building and training of a classification network known as SENet, and the prediction of tumor regions. The invention enhances the study of clear cell renal cell carcinoma by providing results that are more reliable than those derived from CT or MRI images. It addresses the limitations of previous research, which primarily focused on the presence of tumors, by visually indicating the position and size of tumor regions. This advancement is particularly beneficial for medical professionals in understanding the pathogenesis and treatment directions for clear cell renal cell carcinoma.

Career Highlights

Jinzhu Su is affiliated with Wuxi Second People's Hospital, where he applies his expertise in medical imaging and deep learning. His work has garnered attention for its potential to revolutionize the way tumors are analyzed and treated.

Collaborations

Jinzhu Su collaborates with notable colleagues, including Ninghan Feng and Hong Tang, who contribute to his research efforts and innovations in the field.

Conclusion

Jinzhu Su's contributions to tumor segmentation through deep learning represent a significant advancement in medical imaging technology. His work not only enhances the reliability of tumor detection but also aids in the treatment of clear cell renal cell carcinoma.