Tokyo, Japan

Kanato Masayoshi

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Nikon Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kanato Masayoshi. Retrieved from https://idiyas.com/inventor/kanato-masayoshi

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kanato Masayoshi: Inventor in Medical Imaging and Diagnostic Support.

Introduction

Kanato Masayoshi is an inventor based in Tokyo, Japan, associated with Nikon Corporation. His patent work includes technology designed to support the analysis of retinal images and help identify abnormalities in blood circulation.

Latest Patents

Masayoshi is credited with 1 patent: “Diagnosis support device, learning device, diagnosis support method, learning method, and program.” The invention describes a system that receives a fundus image and uses a trained model to recognize areas of abnormal blood circulation. The model is trained using fundus images and corresponding abnormalities identified in fluorescent angiography images. The system then outputs information about the recognized area to support diagnosis.

Career Highlights

Masayoshi’s listed patent reflects work at the intersection of medical imaging, machine learning, and diagnostic support. The invention aims to apply information learned from fluorescent angiography to the analysis of fundus images.

Collaborations

Masayoshi’s listed coworkers include Toshihide Kurihara and Yusaku Katada. His patent is associated with Nikon Corporation.

Conclusion

Kanato Masayoshi’s patent describes a machine-learning approach to identifying blood-circulation abnormalities in retinal images, contributing to technology for diagnosis support.

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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