Wuxi, China

Guanzhen Yu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Guanzhen Yu: Innovating Cancer Diagnosis with Deep Learning

Introduction

Guanzhen Yu, an accomplished inventor located in Wuxi, China, has made significant strides in the medical field with his groundbreaking work in cancer diagnostics. With one patent to his name, Yu is contributing to the advancement of pathological imaging techniques, particularly focusing on clear cell renal cell carcinoma. His innovative approach utilizes deep learning to enhance diagnostic accuracy, promising to change how this condition is assessed in the medical community.

Latest Patents

Guanzhen Yu's notable patent is titled "Segmentation method for tumor regions in pathological images of clear cell renal cell carcinoma based on deep learning." This invention presents a comprehensive segmentation method that encompasses data acquisition and pre-processing, the construction and training of a classification network known as SENet, and the prediction of tumor regions. The methodology implemented in this patent allows for a more reliable assessment of clear cell renal cell carcinoma than traditional imaging techniques like CT or MRI. Notably, the invention addresses previous shortcomings by providing visual insights into the position and size of tumor regions, which aids medical professionals in studying the pathogenesis and developing treatment strategies effectively.

Career Highlights

Guanzhen Yu works at the Wuxi Second People's Hospital, where he collaborates with a team of dedicated professionals in advancing medical technology. His commitment to improving cancer diagnostics reflects his determination to make a positive impact on patient outcomes through innovative solutions in medical imaging.

Collaborations

Throughout his career, Yu has collaborated with colleagues such as Ninghan Feng and Hong Tang. Their collective efforts have contributed to the development and refinement of diagnostic techniques, further enhancing the capabilities of medical professionals in detecting and treating cancerous conditions.

Conclusion

Guanzhen Yu's innovative work in developing a deep learning segmentation method for clear cell renal cell carcinoma showcases the potential of technology in revolutionizing medical diagnostics. With his patent, he not only overcomes existing challenges in tumor assessment but also paves the way for improved treatment approaches in the fight against cancer. As a dedicated inventor and researcher, Yu's contributions mark an inspiring chapter in the ongoing quest for advancements in healthcare.

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