This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Kowa Company Limited. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations by Miyako Suzuki in Ophthalmic Image Processing
Introduction
Miyako Suzuki is a notable inventor based in Tokyo, Japan. He has made significant contributions to the field of ophthalmic image processing. His innovative work focuses on enhancing the accuracy and efficiency of eye evaluations through advanced imaging techniques.
Latest Patents
Miyako Suzuki holds a patent for an "Ophthalmic image processing method, ophthalmic image processing device, and ophthalmic image processing program." This invention involves acquiring an ophthalmic image of an evaluation target and extracting multiple subsection images from it. The state of a subject's eye is predicted for each subsection image using a pre-trained model. This model utilizes machine learning to analyze the images and predict the condition of the subject's eye based on correct answer data related to each subsection image. The extraction process ensures that the subsection images correspond to the specific state of the subject's eye.
Career Highlights
Miyako Suzuki is currently employed at Kowa Company Limited, where he continues to develop innovative solutions in ophthalmic technology. His work has been instrumental in advancing the capabilities of eye care professionals.
Collaborations
Miyako collaborates with talented colleagues, including Reiko Arita and Katsumi Yabusaki. Their combined expertise contributes to the success of their projects and the advancement of ophthalmic imaging technologies.
Conclusion
Miyako Suzuki's contributions to ophthalmic image processing demonstrate his commitment to innovation in healthcare technology. His patent reflects a significant advancement in the field, showcasing the potential for improved eye evaluations through machine learning techniques.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
