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公开(公告)号:US20240127446A1
公开(公告)日:2024-04-18
申请号:US18277900
申请日:2022-02-25
发明人: Homayoun Bagherinia , Aditya Nair , Niranchana Manivannan , Mary Durbin , Lars Omlor , Gary Lee
IPC分类号: G06T7/00 , G06T7/246 , G06V10/74 , G06V10/774 , G06V10/776 , G06V10/82 , G06V10/94 , G06V20/50 , G06V40/18
CPC分类号: G06T7/0014 , G06T7/248 , G06V10/761 , G06V10/774 , G06V10/776 , G06V10/82 , G06V10/95 , G06V20/50 , G06V40/197 , G06T2207/10016 , G06T2207/10101 , G06T2207/20081 , G06T2207/20084 , G06T2207/30041
摘要: System/Method/Device for labelling images in an automated manner to satisfy a performance of a different algorithm and then applying active learning to learn a deep learning model which would enable ‘real-time’ operation of quality assessment and with high accuracy.
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2.
公开(公告)号:US20230196572A1
公开(公告)日:2023-06-22
申请号:US18086016
申请日:2022-12-21
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.
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