公开(公告)号：AU2023351930A1

公开(公告)日：2025-02-20

申请号：AU2023351930

申请日：2023-09-27

Applicant: ALCON INC

Inventor： XIANG QING ,  PARK JOHN ,  ZHU YING ,  CHANG JONATHAN CHE-PIN

IPC: A61B3/00 ,  A61B3/13 ,  G06T7/00

Abstract: In certain embodiments, a system, a computer-implemented method, and computer- readable medium are disclosed for enhanced ophthalmic visualization. A plurality of images corresponding to different portions of the electromagnetic spectrum are obtained and combined, such as by pixel-wise subtraction to obtain a combined image. The images may be weighted with weights selected to enhance visualization of features, such as layers of the retina or features corresponding to pathologies. The combined image may be processed, such as by a machine learning model, to extract features.

公开(公告)号：AU2023351934A1

公开(公告)日：2025-03-06

申请号：AU2023351934

申请日：2023-09-27

Applicant: ALCON INC

Inventor： PARK JOHN ,  XIANG QING ,  RICHARDSON DEAN ,  YIN LU ,  SURESH VIGNESH

IPC: A61B3/10

Abstract: OF THE DISCLOSURE In certain embodiments, a system, a computer-implemented method, and computer- readable medium are disclosed for performing integrated analysis of MSI and OCT images to diagnose eye disorders. MSI and OCT are processed using separate input machine learning models to create input feature maps that are input to an intermediate machine learning model. The intermediate machine learning model processes the input feature maps and outputs a final feature map that is processed by one or more output machine learning models that output one or more estimated representations of a pathology of the eye of the patient. A single device captures OCT and non-OCT images using (a) a sensor of a first imaging device that is shared with a second imaging device and/or (b) an optical component for directing light form the retina to the first imaging device or the second imaging device.