Method and System for an End-to-End Deep Learning Based Optical Coherence Tomography (OCT) Multi Retinal Layer Segmentation

Published in US Patent, 2023

PDF | Google Patents

Pub. No.: US 2023/0196572 A1

App. No.: 18/086,016

A System/Method/Device for automatic retinal layer segmentation from optical coherence tomography (OCT) implementing a deep learning machine model defined by any of multiple neural networks. The neural networks may use the feature of “attention”, and more specifically self-attention, such as by using transformers, to reduce the size of the OCT data and make the process more efficient. Additionally, new methods of data augmentation suitable for OCT data are presented.