Wuhan, China

Zhuoyu Li

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.3

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: Innovations of Zhuoyu Li in Histopathology

Introduction

Zhuoyu Li is an accomplished inventor based in Wuhan, China. He has made significant contributions to the field of histopathology through his innovative methods and technologies. With a total of 3 patents, his work focuses on improving the classification and recognition of histopathological images.

Latest Patents

One of Zhuoyu Li's latest patents is an "End-to-end attention pooling-based classification method for histopathology images." This method enhances classification accuracy for a small number of samples by processing histopathology images in several steps. The process includes cutting images into patches, training a deep learning network, scoring patches, and building a network with an attention pooling module for classification.

Another notable patent is the "Automatic abnormal cell recognition method based on image splicing." This method involves scanning slides with a digital pathological scanner, localizing cell nuclei, and classifying cell images using a trained deep neural network. The approach allows for the simultaneous recognition of abnormal cells, significantly improving diagnostic efficiency.

Career Highlights

Zhuoyu Li is affiliated with Wuhan University, where he continues to advance research in histopathology. His innovative methods have the potential to transform how histopathological images are analyzed and classified, leading to better patient outcomes.

Collaborations

Zhuoyu Li collaborates with esteemed colleagues, including Juan Liu and Zhiqun Zuo. Their combined expertise contributes to the development of cutting-edge technologies in the field.

Conclusion

Zhuoyu Li's contributions to histopathology through his innovative patents demonstrate his commitment to advancing medical technology. His work not only enhances the accuracy of image classification but also paves the way for future innovations in the field.

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