Or Shmueli

Title: Or Shmueli and Machine Learning for Retinal Atrophy Classification.

Introduction

Or Shmueli is an inventor based in Holon, Israel. His patent work addresses the use of machine learning to classify retinal atrophy in optical coherence tomography (OCT) scans.

Latest Patents

Shmueli is associated with 1 patent, titled “Machine learning classification of retinal atrophy in OCT scans.” The method receives OCT scans taken at two different times, along with associated retinal images. It uses image registration to match corresponding pixel-column patches between the scans, then provides those matched patches to a trained machine learning model. The model classifies patches in the later scan as representing retinal atrophy or not representing retinal atrophy.

Career Highlights

The patent describes an approach for comparing retinal scan data over time and applying machine learning to identify signs of atrophy. This work brings together image registration and automated classification in the analysis of OCT scans.

Collaborations

Shmueli’s listed coworkers include Leo Joskowicz and Adi Szeskin.

Conclusion

Or Shmueli’s patent focuses on using matched OCT scan regions and a trained model to classify retinal atrophy, contributing an inventive approach to medical image analysis.