Invention Grant
- Patent Title: Automatically identifying regions of interest of an object from horizontal images using a machine learning guided imaging system
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Application No.: US16212027Application Date: 2018-12-06
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Publication No.: US11132797B2Publication Date: 2021-09-28
- Inventor: Zaixing Mao , Zhenguo Wang , Kinpui Chan , Jonathan Liu , Jongsik Kim
- Applicant: Topcon Corporation
- Applicant Address: JP Tokyo
- Assignee: Topcon Corporation
- Current Assignee: Topcon Corporation
- Current Assignee Address: JP Tokyo
- Agency: Pearne & Gordon LLP
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/73 ; G06T11/00 ; A61B3/12 ; G06K9/46 ; G06K9/62 ; A61B3/10

Abstract:
A multimodal imaging system and method is capable of taking fundus images, automatically identifying regions of interest (ROIs) of the eye from the fundus images, and performing OCT imaging in the identified ROIs, where the OCT images can provide clinically relevant information for screening purposes. By automatically identifying the ROIs, expert intervention is not required to perform specialized OCT imaging and thus, such imaging and analysis can be provided at more facilities and for more subjects for a lower cost.
Public/Granted literature
- US20190206054A1 MACHINE LEARNING GUIDED IMAGING SYSTEM Public/Granted day:2019-07-04
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