70 results about "Eye Surgeon" patented technology

A reading enhancement device for preventing and / or treating presbyopia of the eye. The enhancement device is sutured to an outer wall of the sclera for buckling and compressing a portion of the sclera and the ciliary body inwardly and perpendicular to the plane of the sclera and exerting a posterior compression force toward the vitreous humor in the rear of the eye. The enhancement device includes a compression body with a front of the body having semi-circular convex surface. The compression body made of a non-metallic, synthetic polymer. The convex surface is used for engaging, buckling and compressing both a portion of the sclera and the ciliary body of the eye. The compression body also includes an enlarged, rounded first and second end portions and an elongated center portion with the convex surface formed thereon. Also, the compression body includes a rear having an outwardly extending rib portion with a pair of grooves at opposite ends of the rib portion. The grooves and the enlarged, rounded first and second end portions are used to aid the eye surgeon in suturing and securing the enhancement device to the side of the eye.

The invention provides a multi-modal retina image fusion method and system based on image registration. The method comprises the steps of obtaining a retina image pair; preprocessing, obtaining retina edge image pairs, and extracting a feature point set from each retina edge image pair; combining a plurality of feature descriptors to construct a multi-feature difference descriptor, and guiding feature extraction of the feature point set; updating spatial transformation of the source feature point set according to the corresponding relation matrix; performing image registration, and obtaining an image after spatial transformation in combination with the target image; and fusing the image after spatial transformation and a preset reference image to obtain a fused image. According to the method, the defects of insufficient image registration precision and inaccurate image space transformation in a multi-modal retina image fusion process are overcome, and high-precision and high-stability registration performance can be realized. On the basis of high-precision image registration, effective multi-modal eye fundus image fusion is carried out, so that an ophthalmologist can conveniently observe the change of a lesion area.

An ophthalmic technician is present with a patient in an exam room to operate eye examination equipment and transmit patient information to remote location. At that remote location, a skilled technician is present to provide the necessary optical care, and may operate the phoropter from the remote location. Using video and / or teleconferencing equipment and a phoropter located in the patient examination room along with management software, the system works to determine the final optical prescription for the patient. That information, coupled with findings from other devices which are integrated with the management software, and that the patient uses locally, are reviewed by a remote-based optometrist or ophthalmologist.

Aspects extend to methods, systems, and computer program products for forecasting eye condition progression for eye patients. When a patient visits an eye practitioner, the patient (or when appropriate their guardian) may be interested in the current eye condition as well as a prediction of eye condition progression in the future and / or as the patient ages. Aspects of the invention can be used to predict the progress of an eye condition for a patient (e.g., a child) at a number of different post-examination times after an examination. Predicting the progress of an eye condition for a patient over time can be used to assist the eye practitioner in tailoring a treatment plan and / or tailoring a subsequent examination schedule for the patient.

The invention provides an OCT image recommendation method and device based on artificial intelligence, electronic equipment and a storage medium, and the method comprises the steps: obtaining fundus OCT images, and carrying out the preprocessing of all the obtained fundus OCT images, and obtaining an OCT to-be-detected image set; inputting images in the OCT to-be-detected image set into a network detection model for focus detection to obtain a focus image set; constructing a lesion vector, and screening the lesion image set based on the lesion vector to obtain an effective lesion image set; calculating a focus characteristic index of each image in the effective focus image set; and evaluating images in the effective lesion image set based on the lesion feature indexes to obtain an OCT recommended image. According to the method, the focus characteristic indexes of the OCT images are calculated, and the vectors are constructed according to the focus characteristic indexes for operation to quickly recommend similar OCT images, so that the reading and diagnosis efficiency of ophthalmologists is improved.

The method and device for detecting retinopathy of prematurity based on a deep neural network provided by the embodiments of the present invention belong to the field of image processing. The method collects a plurality of fundus image data first, and then labels the plurality of fundus image data based on preset rules to generate image data to be processed; then divides the image data to be processed into training sets according to a preset ratio and a test set; then set up a deep neural network model; then train the deep neural network model based on the training set; then process the data in the test set by the trained deep neural network model to obtain processed The output data; finally obtain the ROP lesion diagnosis result based on the output data. Therefore, human resources can be reduced, detection efficiency can be improved, part of the work of ophthalmologists can be saved, and it has important guiding significance for clinical detection of retinopathy of prematurity.

The invention discloses an image classification method and device based on a residual network, equipment and a medium, and the method comprises the steps: obtaining a data set classified according to data features, and compiling a data interface needed by a convolutional neural network according to the data features; making data set labels, wherein each data set with different data features corresponds to one data set label; constructing a training set and a test set, and dividing the data set into a plurality of equal parts; constructing a deep residual unit, constructing a convolutional neural network, and establishing an image classification model; setting training parameters and a loss function strategy for the image classification model, and determining a classification result output by the classifier; performing network training and network testing on the image classification model; and inputting a to-be-classified image into the image classification model to obtain a classification result. According to the method, the image classification model is constructed to assist doctors in diagnosis, so that the burden of ophthalmologists is relieved, the examination time is shortened, and the time and labor cost for screening pictures corresponding to different grades of diseases are reduced.

Systems and methods are provided for obtaining sight screenings, optical prescriptions and fittings for eyeglasses and contact lenses. A system can be self-operated through a voice-activated response system that enables an individual to determine one's own refraction, or can be operated with the assistance of a technician. A plurality of customer diagnostic locations can include digital equipment and optical instruments to conduct the sight screening. The data generated at these locations can be transferred to a remotely located eye doctor who interacts with a customer via a live audio-video connection to assist with interpreting the data, diagnosing the customer and operating the instruments at the locations. The eye doctor diagnoses, consults and authorizes the prescriptions for the customer. The customer's data can be sent to a lens laboratory to enable the fabrication, purchasing, and delivery of eyeglasses or contact lenses.

The invention belongs to the technical field of surgery cleaning and particularly relates to a postoperative cleaning device for doctors in the ophthalmology department. In order to solve the problemthat since the areas around eyes are sensitive, it is inappropriate to directly use brushes or gauze for binding up and cleaning, a scheme is disclosed. According to the scheme, the postoperative cleaning device includes a cleaning fluid, a supporting rack and a fixing platform welded to the top of the supporting rack; a water storage tank is fixed to the middle of the bottom of the fixing platform through bolts, a flange is fixed to the top of the fixing platform through bolts, and a hydraulic jacking rod is fixed to the fixing platform through the flange; a second thrust ball bearing is welded to the top of an extending rod body of the hydraulic jacking rod, a first fixing plate is fixed to the top of the second thrust ball bearing through bolts, and two steel channel slide rails are welded to the portions, close to the two ends, of the upper surface of the first fixing plate, wherein the openings of the two steel channel slide rails are opposite and parallel to each other. A turntable at the bottom can be automatically rotated to achieve nursing of the eyes according to procedures, and the nursing quality and the nursing scientificity are improved.

The invention provides an ophthalmologic operation head fixing and anti-disturbance device which comprises head fixing and anti-disturbance units which are fixed to the two sides of a head respectively and used in pairs, and each head fixing and anti-disturbance unit comprises a main telescopic device, an upper auxiliary telescopic device, a lower auxiliary telescopic device, a telescopic clamping device and a main controller. A main telescopic device piston in the main telescopic device is controlled by the main controller to move, and auxiliary telescopic device pistons in the upper auxiliary telescopic device and the lower auxiliary telescopic device are controlled by the main controller to move, so that the telescopic clamping device makes contact with the head of the patient, and the head of the patient is clamped. According to the technical scheme, optimal clamping force can be provided for the head of a patient, optimal posture control is provided for implementation of an ophthalmic operation, and operation errors caused by slight vibration and disturbance of the head of the patient during the ophthalmic operation are eliminated, so that the operation quality and speed of an ophthalmologist are improved, the time of the patient in an operating room is shortened, and the pain time is reduced.

The invention discloses a nuclear cataract recognition method and device, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: extracting region features of a crystalline lens nuclear region in a sample eye image, extracting shape features of the crystalline lens nuclear region in the sample eye image, and determining target features of the sample eye image according to the region features and the shape features; and based on the target features of the sample eye image, constructing a nuclear cataract recognition model for determining the nuclear cataract level of the to-be-recognized eye image. According to the technical scheme, the lesion features of the crystalline lens nuclear region in the fundus image can be accurately obtained, so that the judgment of the nuclear cataract level is more accurate, a new thought is provided for automatic diagnosis of the nuclear cataract, and an ophthalmologist can be assisted to efficiently, objectively and accurately diagnose the nuclear cataract.

The invention provides an ophthalmology simulation teaching device and method, the ophthalmology simulation teaching device comprises a base and a main body, the main body is installed in the middle of the front surface of the base, a rotating groove is formed in the middle of the front surface of the main body, and an eyeball model is installed on the inner surface of the rotating groove; eyelid models are mounted on the front surface of the main body and at the top and the bottom of the eyeball model, a lower hemisphere is mounted in the eyeball model close to the rear surface, an upper hemisphere is mounted in the eyeball model close to the front surface through a connecting table, and a lens is mounted in the middle of the front surface of the upper hemisphere; an anti-dazzling screen is installed on the rear surface of the lens in the upper hemisphere, a sawtooth edge picture is installed on the inner surface of the upper hemisphere and behind the lens, and a fundus picture is installed on the inner surface of the lower hemisphere. The invention provides the ophthalmology simulation teaching equipment which has the characteristics of simulating human eyelid tissues, eyeball structures, diopter ranges, different pupil sizes and the like, and a more vivid simulation teaching basis can be provided for ophthalmologists and medical students.