The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 14, 2025
Filed:
Feb. 12, 2020
Carl Zeiss Meditec Ag, Jena, DE;
Carl Zeiss Meditec, Inc., Dublin, CA (US);
Arindam Bhattacharya, Dublin, CA (US);
Warren Lewis, Yellow Springs, OH (US);
Sophie Kubach, Menlo Park, CA (US);
Lars Omlor, Pleasanton, CA (US);
Mary Durbin, San Francisco, CA (US);
CARL ZEISS MEDITEC, INC., Dublin, CA (US);
CARL ZEISS MEDITEC AG, Jena, DE;
Abstract
An OCT system includes a machine learning (ML) model trained to receive a single OCT scan/image and provide an image translation and/or denoise function. The ML model may be based on a neural network (NN) architecture including a series of encoding modules in a contracting path followed by a series of decoding modules in an expanding path leading to an output convolution module. An intermediate error module determines a deep error measure, e.g., between a training output image and at least one encoding module and/or decoding module, and an error from the output convolution module is combined with the deep error measure. The NN may be trained using true averaged images as ground truth, training outputs. Alternatively, the NN may be trained using randomly selected, individual OCT images/scans as training outputs.