专利检索 ap:("Carl Zeiss Meditec, Inc.") AND inv:"Rogerio Guimaraes" 第 1 页

1.

发明公开
METHOD AND SYSTEM FOR AN END-TO-END DEEP LEARNING BASED OPTICAL COHERENCE TOMOGRAPHY (OCT) MULTI RETINAL LAYER SEGMENTATION 审中-公开

公开(公告)号：US20230196572A1

公开(公告)日：2023-06-22

申请号：US18086016

申请日：2022-12-21

申请人： Carl Zeiss Meditec, Inc.

发明人： Aditya Nair , Rogerio Guimaraes , Homayoun Bagherinia , Ali Salehi

IPC分类号： G06T7/00

CPC分类号： G06T7/0012 , G06T2207/20084 , G06T2207/20081

摘要： 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.