The invention relates to a computing system and a computer-implemented method for classifying images of retina of eyes of subjects. A captured image of a retina is processed to obtain a plurality of different segmented images each having different selected portions of the captured image using different selection rules. The multiple segmented images are provided to respective dedicated machine learning models to output an image classification based on the respective segmented images provided as input. An ensemble classification is determined based on the multiple classifications obtained by means of the multiple trained machine learning models.

A computer-implemented method is described. The method is be implemented by processors of an aircraft system. The method includes receiving images of an eye and a lighting configuration associated with a cockpit of an aircraft. The method further includes detecting a position of the eye within each of the images. The method further includes compensating for a pupillary light response of the eye based on the position of the eye within the image and the lighting configuration. By compensating for the pupillary light response, a fatigue level of the operator is estimated with reduced noise.

An eye test administered to a remote subject over a computer network, where sensors provide feedback through the computer network so that light source position, light source brightness and/or a display configuration and/or parameter setting related to a visual display that is used to implement the remote eye test.

A portable apparatus for determining refractive error in the human eye comprises an elongate base rail having a left side base rail portion and a right side base rail portion; a first lens carrier housing mounted on the left side base rail portion, a first lens carrier carrying a plurality of corrective lenses and being substantially housed within the first lens carrier housing so as to expose a corrective lens of the first lens carrier in a test position of the first lens carrier housing; a second lens carrier housing mounted on the right side base rail portion, a second lens carrier carrying a plurality of corrective lenses and being substantially housed within the second lens carrier housing so as to expose a corrective lens of the second lens carrier in a test position of the second lens carrier housing; a first user operable control adapted for moving the first lens carrier relative to the first lens carrier housing and a second user operable control adapted to move the second lens carrier relative to the second lens carrier housing, whereby the first user operable control and the second user operable control are each movable to select a corrective lens to be exposed in the test position of the respective carrier housing. and wherein the portable apparatus includes at least one of (a) the base rail is adapted to be foldable at a middle portion thereof and (b) one of the first lens carrier housing and the second lens carrier housing is detachable from the respective left side base rail portion or right side base rail portion.

A method of processing a sequence of images of a retina acquired by an ophthalmic device to generate retinal position tracking information indicative of retina movement during acquisition. The method includes (i) receiving one or more images of the retina; (ii) calculating a cross-correlation between a reference image and an image based on the received image(s) to acquire an offset between the image and reference image; and repeating processes (i) and (ii) to acquire, as the tracking information, respective offsets for images that are based on the respective received image(s). Another step includes modifying the reference image during the repeating, by determining a measure of similarity between correspondingly located regions of pixels in two or more received images and accentuating features in the reference image representing structures of the imaged retina in relation to other features in the reference image based on the determined measure of similarity.

A ophthalmic fixation apparatus includes a case housing with an interior area to hold a power source, the case housing further having a switch to activate a first fixation element and a second fixation element; one or more straps extending from the case housing; a first flexible conduit extending from the case housing and to facilitate direction of the first fixation element; and a second flexible conduit extending from the case housing and to facilitate direction of the second fixation element; the ophthalmic apparatus is for use during an eye exam to keep the patient's attention and maintain a still eye for examination.

An ophthalmic system may comprise an imaging device having a field of view oriented toward the eye of the patient; a patient interface housing defining a passage therethrough, having a distal end coupled to one or more seals configured to be directly engaged with one or more surfaces of the eye of the patient, and wherein the proximal end is configured to be coupled to the patient workstation such that at least a portion of the field of view of the imaging device passes through the passage; and two or more registration fiducials coupled to the patient interface housing in a predetermined geometric configuration relative to the patient interface housing within the field of view of the imaging device such that they may be imaged by the imaging device in reference to predetermined geometric markers on the eye of the patient which may also be imaged by the imaging device.

A alteration caused in a nerve fiber layer could not accurately be displayed. There is provided a tomographic imaging apparatus including a generation means for generating a nerve fiber bundle map, a designation means for designating an arbitrary nerve fiber bundle in the nerve fiber bundle map, and a display control means for causing display means to display a parameter of the designated nerve fiber bundle.

Provided is an image processing apparatus configured to process an image of a fundus of an eye to accurately measure thicknesses of membranes that form a blood vessel wall of an eye. The image processing apparatus includes: an image acquiring unit configured to acquire an image of an eye; a vessel feature acquiring unit configured to acquire membrane candidate points that form an arbitrary wall of a blood vessel based on the acquired image; a cell identifying unit configured to identify a cell that forms the wall of the blood vessel based on the membrane candidate points; and a measuring position acquiring unit configured to identify a measuring position regarding the wall of the blood vessel based on a position of the identified cell.

The present invention relates to accurately determining a contour of a depolarizing region.

An image processing apparatus extracts a depolarizing region in a polarization-sensitive tomographic image of a subject's eye, and detects, in a tomographic intensity image of the subject's eye, a region corresponding to the extracted depolarizing region. The tomographic intensity image corresponds to the polarization-sensitive tomographic image,