Wen Yu

Title: Innovations by Inventor Wen Yu

Introduction

Wen Yu is an accomplished inventor based in Guangdong, China. He has made significant contributions to the field of medical imaging and diagnosis, holding a total of 3 patents. His work focuses on enhancing the accuracy and efficiency of medical image classification and evaluation.

Latest Patents

Wen Yu's latest patents include a "Smart diagnosis assistance method to solve results of inaccurate classification of image, and terminal based on medical images." This innovative application is designed for use in the technical field of computers. It provides a smart diagnosis assistance method that involves acquiring a medical image to be classified, pre-processing the image, and inputting it into a trained classification model. The model utilizes tensorized network layers and a second-order pooling module to extract more discriminative features related to pathologies, thereby increasing the accuracy of medical image classification.

Another notable patent is the "Visualization method for evaluating brain addiction traits, apparatus, and medium." This method includes receiving a visualization processing request from a client, masking the image to be processed, and classifying the perturbation image with a visualization processing model. The evaluation value of the perturbation image is calculated, and the visualization evaluation result is sent to the client, providing valuable insights into brain addiction traits.

Career Highlights

Wen Yu has worked with prestigious institutions such as the Shenzhen Institutes of Advanced Technology and the Chinese Academy of Sciences. His experience in these organizations has allowed him to develop and refine his innovative ideas in medical imaging technology.

Collaborations

Wen Yu has collaborated with notable colleagues, including Shuqiang Wang and Yanyan Shen, who have contributed to his research and development efforts in the field.

Conclusion

Wen Yu's contributions to medical imaging and diagnosis through his innovative patents demonstrate his commitment to advancing technology in healthcare. His work not only enhances the accuracy of medical image classification but also provides valuable tools for evaluating brain addiction traits.