Guangdong, China

Kangpei Tao

This inventor holds 1 USPTO granted patent. Top assignees: Guangzhou Kingmed Center for Clinical Laboratory, Guangzhou Kingmed Diagnostics Group Co., Ltd., Guangzhou Kingmed Translational Medicine Institute Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kangpei Tao. Retrieved from https://idiyas.com/inventor/kangpei-tao

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kangpei Tao and Digital Pathology Innovation.

Introduction

Kangpei Tao is an inventor based in Guangdong, China. His patent work focuses on applying deep learning to digital pathology, including methods for identifying target regions in scanned pathology slides.

Latest Patents

Tao is associated with one patent, titled “Method and System for Identifying Target Region of Digital Pathology Slide, Device, and Medium.” The invention describes a process that inputs a scanned pathology-slide image into a preset deep learning-based identification model. The model extracts contour features, segments the resulting contour image into sub-contour images, and classifies each segment to determine its region category. Those classifications are then used to identify a target region image. The patent also proposes a corresponding identification system, device, and medium. Tao’s listed portfolio includes 1 patent.

Career Highlights

Tao’s listed company affiliations include Guangzhou Kingmed Center for Clinical Laboratory and Guangzhou Kingmed Diagnostics Group Co., Ltd. His patent reflects the use of image processing and deep learning in digital pathology workflows.

Collaborations

Tao’s listed coworkers include Shuanlong Che and Tingsong Yu.

Conclusion

Kangpei Tao’s patent work brings together contour extraction, image segmentation, and classification to support target-region identification in digital pathology slides.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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