This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Huawei Cloud Computing Technologies Co., Ltd.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Innovations in Image Processing by Xiaoshi Chen
Introduction
Xiaoshi Chen is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of artificial intelligence, particularly in image processing technologies. His innovative work has led to the development of a patented method that enhances the analysis of pathological images.
Latest Patents
Xiaoshi Chen holds a patent for an "Image processing method, apparatus, and system." This application focuses on an advanced image processing method that involves segmenting a to-be-analyzed pathological image into multiple image blocks. The method utilizes a first analysis model to classify these blocks based on the quantity or area of suspicious lesion components. Subsequently, it employs a second analysis model to analyze the location of these components, ultimately providing a comprehensive final analysis result of the pathological image. This patent showcases his expertise in integrating artificial intelligence with medical imaging.
Career Highlights
Xiaoshi Chen is currently associated with Huawei Cloud Computing Technologies Co., Ltd., where he continues to push the boundaries of technology in the field of image processing. His work at Huawei has allowed him to collaborate with other talented professionals in the industry, further enhancing his contributions to innovation.
Collaborations
Xiaoshi has worked alongside notable colleagues such as Yaoxin Li and Changzheng Zhang. Their collaborative efforts have played a crucial role in advancing the research and development of image processing technologies.
Conclusion
Xiaoshi Chen's innovative approach to image processing exemplifies the potential of artificial intelligence in medical applications. His contributions not only enhance the accuracy of pathological image analysis but also pave the way for future advancements in the field.