Abstract: A method for evaluating geographic atrophy. A set of retinal images is received. Each model of a plurality of models is trained to predict a set of geographic atrophy (GA) progression parameters for a geographic atrophy (GA) lesion using the set of retinal images. A visualization output is generated for each model of the plurality of models. The visualization output for a corresponding model of the plurality of models provides information about how the corresponding model uses the set of retinal images to predict the set of GA progression parameters.

Abstract: A method and system for generating a geographic atrophy (GA) lesion segmentation mask corresponding to GA lesions in a retina is disclosed herein. In some embodiments, a set of fundus autofluorescence (FAF) images of a retina having one or more geographic atrophy (GA) lesions and one or both of a set of infrared (IR) images of the retina or a set of optical coherence tomography (OCT) images of the retina may be used to generate the GA lesion segmentation mask including one or more GA lesion segments corresponding to the one or more GA lesions in the retina. In some instances, a neural network may be used to generate the GA lesion segmentation mask.

Abstract: A method and system for evaluating geographic atrophy in a retina. A set of fundus autofluorescence (FAF) images of the retina is received at a machine learning system. A set of optical coherence tomography (OCT) images of the retina is received at the machine learning system. A lesion growth rate is predicted, via the machine learning system, for a geographic atrophy lesion in the retina using the set of FAF images and the set of OCT images.

Abstract: A method and system for evaluating geographic atrophy in a retina. A set of fundus autofluorescence (FAF) images of the retina is received. An input is generated for a machine learning system using the set of fundus autofluorescence images. A lesion area is predicted, via the machine learning system, for the geographic atrophy lesion in the retina using the set of fundus autofluorescence images. A lesion growth rate is predicted, via the machine learning system, for the geographic atrophy lesion in the retina using the input.

Abstract: A method, system, and computer program product for evaluating a geographic atrophy lesion. An image of a geographic atrophy (GA) lesion is received. A first set of values is determined for a set of shape features using the image. A second set of values is determined for a set of textural features using the image. GA progression for the GA lesion is predicted using the first set of values and the second set of values.

Abstract: Systems and methods relate to processing optical tomography coherence (OCT) images to predict characteristics of a treatment to be administered to effectively treat age-related macular degeneration. The processing can include pre-processing the image by flattening and/or cropping the image and processing the pre-processed image using a neural network. The neural network can include a deep convolutional neural network. An output of the neural network can indicate a predicted frequency and/or interval at which a treatment (e.g., anti-vascular endothelial growth factor therapy) is to be administered so as to prevent leakage of vasculature in the eye.

Abstract: An apparatus, for examining an inner ear is provided. An endoscope is provided, comprising a wave guide and an end piece comprising an end window to be placed a first distance from an inner ear, wherein the waveguide focuses light to create a focal plane the first distance from the end window. An optical coherence tomography (OCT) system is connected to a second end of the wave guide and comprises an imaging system connected to the OCT system for generating an image of the inner ear.

Abstract: A traction arrangement for propelling an elevator cab within an elevator system includes a traction device. The traction device applies a load normal to a driving sheave that biases the elevator rope or belt against the sheave. The tension device preferably includes a plurality of rolling members that move about their axes responsive to relative movement between the driving sheave and the rope or belt. A traction belt rides upon the rolling members and the traction belt engages the rope or belt to bias it against the driving sheave with a preferably distributed force.

Abstract: A traction arrangement for propelling an elevator cab within an elevator system includes a traction device. The traction device applies a load normal to a driving sheave that biases the elevator rope or belt against the sheave. The tension device preferably includes a plurality of rolling members that move about their axes responsive to relative movement between the driving sheave and the rope or belt. A traction belt rides upon the rolling members and the traction belt engages the rope or belt to bias it against the driving sheave with a preferably distributed force.