London, United Kingdom

Matthew Lee

USPTO Granted Patents = 4 

Average Co-Inventor Count = 5.6

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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4 patents (USPTO):Explore Patents

Title: Innovations by Matthew Lee

Introduction

Matthew Lee is an accomplished inventor based in London, GB. He has made significant contributions to the field of electronic image processing, particularly in medical applications. With a total of four patents to his name, Lee's work focuses on enhancing the quality and predictive capabilities of digital medical images.

Latest Patents

One of his latest patents is titled "Systems and methods for processing electronic images with preanalytic adjustment." This invention involves a method for processing electronic medical images by receiving an initial whole slide image of a pathology specimen. It also includes receiving information about slide quality aspects to modify and generating a synthetic whole slide image using a machine learning model. The synthetic image may have reduced quality compared to the initial image, which is associated with a patient.

Another notable patent is "Systems and methods to process electronic images for continuous biomarker prediction." This patent discloses systems and methods for processing digital images to predict at least one continuous value. The process includes receiving one or more digital medical images and determining whether they include at least one salient region. Upon identifying such a region, a trained machine learning system predicts a continuous value corresponding to it, which is then outputted to an electronic storage device or display.

Career Highlights

Matthew Lee is currently employed at Paige.ai, Inc., a company that specializes in artificial intelligence for pathology. His work at Paige.ai has allowed him to leverage his expertise in machine learning and image processing to develop innovative solutions for medical imaging.

Collaborations

Lee collaborates with talented individuals in his field, including Christopher Kanan and Belma Dogdas. Their combined efforts contribute to advancing the technology and applications of electronic image processing.

Conclusion

Matthew Lee's innovative work in electronic image processing has the potential to significantly impact the medical field. His patents reflect a commitment to improving the quality and predictive capabilities of digital medical images.

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