Invention Application
- Patent Title: ARTIFICIAL INTELLIGENCE FOR EVALUATION OF OPTICAL COHERENCE TOMOGRAPHY IMAGES
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Application No.: US17805299Application Date: 2022-06-03
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Publication No.: US20220301161A1Publication Date: 2022-09-22
- Inventor: Stephan WYDER , Matthias PFISTER , Cyril STOLLER , Philip M. BUSCEMI
- Applicant: ACUCELA INC.
- Applicant Address: US WA Seattle
- Assignee: ACUCELA INC.
- Current Assignee: ACUCELA INC.
- Current Assignee Address: US WA Seattle
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/11 ; G06T3/00 ; G06N3/08 ; G16H30/40

Abstract:
A neural network is trained to segment interferogram images. A first plurality of interferograms are obtained, where each interferograms corresponds to data acquired by an OCT system using a first scan pattern, annotating each of the plurality of interferograms to indicate a tissue structure of a retina, training a neural network using the plurality of interferograms and the annotations, inputting a second plurality of interferograms corresponding to data acquired by an OCT system using a second scan pattern and obtaining an output of the trained neural network indicating the tissue structure of the retina that was scanned using the second scan pattern. The system and methods may instead receive a plurality of A-scans and output a segmented image corresponding to a plurality of locations along an OCT scan pattern.
Public/Granted literature
- US11620749B2 Artificial intelligence for evaluation of optical coherence tomography images Public/Granted day:2023-04-04
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