Invention Grant
- Patent Title: Generating realistic organ x-ray angiography (XA) images for deep learning consumption
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Application No.: US16205030Application Date: 2018-11-29
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Publication No.: US11042778B2Publication Date: 2021-06-22
- Inventor: Omid Bonakdar Sakhi
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agent David Spalding
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08 ; G06N3/04 ; G16H30/20 ; G06T7/00

Abstract:
A method, computer system, and a computer program product for generating one or more realistic x-ray angiography (XA) images for deep learning is provided. The present invention may include generating at least one three-dimensional (3D) model associated with a subject. The present invention may then include projecting the generated 3D model associated with the subject into one or more two-dimensional (2D) images associated with the subject. The present invention may also include creating the one or more realistic XA images of the subject from the one or more 2D images associated with the subject by utilizing a trained deep convolutional neural network.
Public/Granted literature
- US20200175328A1 GENERATING REALISTIC ORGAN X-RAY ANGIOGRAPHY (XA) IMAGES FOR DEEP LEARNING CONSUMPTION Public/Granted day:2020-06-04
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