Shenzhen, China

Kaiwen Xiao

USPTO Granted Patents = 4 

 

Average Co-Inventor Count = 4.2

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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4 patents (USPTO):

Title: Innovations of Inventor Kaiwen Xiao

Introduction

Kaiwen Xiao is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of artificial intelligence and image processing. With a total of 4 patents, his work focuses on enhancing the efficiency and accuracy of pathological image analysis.

Latest Patents

One of his latest patents is an "Artificial intelligence-based pathological image processing method and apparatus." This application provides a method performed by an electronic device that includes determining a seed pixel of an immune cell region from a pathological image. It also involves obtaining a seed pixel mask image corresponding to the seed pixel of the immune cell region, segmenting an epithelial cell region, and determining a ratio value of the immune cell region based on the effective seed pixel mask image.

Another notable patent is the "Image annotation method and apparatus." This invention allows a computer device to obtain a to-be-annotated image and match it with an annotated image from a set. The device generates annotation information based on an affine transformation matrix, which helps in migrating annotations between images of different magnifications. This innovation significantly reduces manual annotation efforts and improves efficiency.

Career Highlights

Kaiwen Xiao has worked with notable companies, including Tencent Technology (Shenzhen) Company Limited and Tencent Technology Company Limited. His experience in these organizations has contributed to his expertise in artificial intelligence and image processing technologies.

Collaborations

Some of his coworkers include Xiao Han and Hu Ye, who have collaborated with him on various projects.

Conclusion

Kaiwen Xiao's innovative work in artificial intelligence and image processing has led to significant advancements in the field. His patents reflect a commitment to improving efficiency and accuracy in pathological image analysis.

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