20 results about "Macular disease" patented technology

According to the maculopathy diagnosis device and method based on GCN and Mama cooperation and the medium, feature interaction processing is carried out by designing a GMMN module (a graph mapping Mama network), each pixel is regarded as a feature node, and through combination of graph convolution and Mama coding, the advantages of the two methods are brought into full play, and the respective limitations of the two methods are overcome at the same time. Furthermore, a mapping module is developed, and effective cross-branch feature fusion is realized by using a geometrical relationship between feature nodes. A large number of experimental results prove that the network has excellent performance when the CFP modal image is used for automatic diagnosis of macular edema, and the effectiveness and clinical application potential of the method are verified. According to experimental verification on two public data sets of IDRID and Messidor and one private data set, 91.26%, 94.58% and 98.43% of diagnosis accuracy are achieved respectively, it is indicated that the method can achieve a good diagnosis effect on different data sets, and the huge potential of the method in clinical application is highlighted.

According to the macular oedema diagnosis system, method and device based on color fundus photography, the medium and the program product, the bright part enhancement and dark part enhancement of the CFP image are combined, the problem that diagnosis is difficult due to the fact that macular oedema features are not obvious in traditional CFP image diagnosis is solved, and the diagnosis accuracy and efficiency are greatly improved. Experimental results show that the accuracy rate of the method can reach 95% or above on a private data set, and the accuracy rate of multi-stage diagnosis of macular edema on a public macular degeneration and macular edema combined data set IDRID can reach 85%. Besides, a Mama layer in an SSM (Spatial-Sense-Modulation) framework is adopted to perform global feature modeling, so that the capability of capturing the global relationship of the image is further improved, the bottleneck problem encountered in actual clinical application due to the fact that a Transform model depends on computing resources is reduced, the requirement for high-performance computing equipment is reduced, and the method has the advantages of being high in practicability and easy to popularize. And possibility is provided for application in areas with limited resources.

The embodiment of the invention provides a method for acquiring maculopathy edema features in a retina image and electronic equipment, and relates to the technical field of image recognition. The method for acquiring the maculopathy edema features in the retina images comprises the following steps: acquiring a current retina image to be recognized in a plurality of retina images; determining an edema brightness threshold value of the current retina image based on the brightness value of the pixel in the vitreous body region of the current retina image; based on the brightness value of each pixel in the current retina image and an edema brightness threshold value of the current retina image, an edema area in the current retina image is determined, and the brightness value of the pixel in the edema area is smaller than the edema brightness threshold value. According to the invention, feature extraction can be carried out on the macular oedema region in the image based on the brightness value of the pixel in the retina image.

The invention discloses a lutein ester and / or zeaxanthin eye protection composition and a preparation method and application, and particularly relates to the technical field of nutritional agent preparation, the lutein ester and / or zeaxanthin eye protection composition comprises lutein ester and / or zeaxanthin, vitamin C, blueberry powder, D-mannitol, astaxanthin, vitamin E, selenium, glutathione and lactoferrin; according to the invention, high-purity lutein ester and / or zeaxanthin are / is used as main active components, and a plurality of auxiliary components are combined; the plant eye protection composition can significantly improve the eye protection effect and effectively prevent and improve the eye health problems such as lacrimation, crystalline lenses and maculopathy, the lutein ester and / or the zeaxanthin are / is dispersed to the nanoscale through the combination of the nano-dispersion technology and the microencapsulation technology, microcapsules are formed through wall material wrapping, and the eye protection effect of the plant eye protection composition is improved. The stability and solubility of the composition are improved, and the residence time of the active ingredients in the body is prolonged, so that the durability of the eye protection effect is enhanced.

The present invention discloses a method and system for classifying myopic maculopathy based on knowledge distillation and self-supervised learning, which relates to the technical field of medical image classification, including a self-supervised learning stage and a myopic maculopathy classification stage. The self-supervised learning stage includes an image mask module, a knowledge distillation and feature encoding module, and an image reconstruction module; the original fundus color image is subjected to high-pass filtering to generate a reconstruction target, so that the representation learning gives priority to high-frequency components, namely, image details and edge information, so that the network pays more attention to the high-frequency details of the image to achieve image reconstruction. The present invention realizes efficient application in the classification of fundus image lesions by optimizing distillation technology and reconstruction strategy; extracts knowledge from a larger model to improve the training efficiency of the model; enhances the model's capture of image details, and has good classification performance, laying a foundation for the subsequent quantitative analysis of lesions.

The invention discloses a myopic maculopathy fundus color photo image classification method and system, and belongs to the technical field of image classification. Obtaining a to-be-analyzed fundus color photo; preprocessing the fundus color photo to extract an effective view area and reduce image acquisition difference interference; and inputting the preprocessed image into a deep learning classification network, and outputting an META-PM classification result corresponding to the myopic maculopathy. According to the method, on the premise of not depending on accurate focus labeling, the global structure and the local focus evidence are fused at the same time, the ordered level relation is explicitly modeled, and the cross-device robustness and the long-tail distribution adaptability are improved.

The present disclosure relates to a pharmaceutical composition for use in preventing or treating retinal or macular diseases, the composition comprising: a polypeptide comprising an amino acid sequence with at least 70% sequence identity with that of TAFA protein (e.g., TAFA1 to TAFA4); a nucleic acid encoding the polypeptide; a vector comprising the nucleic acid, a recombinant virus particle comprising the vector and capsid protein; or a cell comprising the nucleic acid or vector. In addition, the present disclosure relates to an adeno-associated virus (AAV) vector that comprises a nucleic acid encoding a polypeptide having an amino acid sequence with at least 70% sequence identity with that of TAFA protein, and a recombinant virus particle containing the AAV vector and capsid protein. The AAV vector, the recombinant virus, or the composition comprising the same according to the present disclosure can be advantageously used for the prevention or treatment of retinal or macular diseases by recovering damaged retina.

This invention discloses a method and system for grading myopic macular degeneration (ATN) based on multimodal medical imaging. The system includes an image acquisition module for acquiring multimodal retinal images to be graded; a preprocessing module for preprocessing the multimodal images to obtain image sequences that meet preset grading requirements; and a grading module for inputting the image sequences into a pre-stored multimodal multi-task grading model. The model performs feature extraction, multimodal fusion, and multi-task classification on the image sequences, outputting a lesion grade prediction result for each grading task. This invention significantly improves the model's sensitivity to pathological regions by performing pixel-level segmentation of the input images and locating key anatomical structures. In subsequent steps, spatial weighting is applied to CFP image modalities, and specific regions of OCT and OCTA are enhanced, effectively improving the accuracy and robustness of lesion diagnosis and localization.

The invention provides a nucleic acid molecule and application thereof, and belongs to the technical field of biology. Specifically, compared with SEQ ID NO: 1, the nucleic acid molecule has c.1850A > C mutation. The mutation is closely related to myopic maculopathy.

The utility model discloses a light path system and light feeding equipment, and belongs to the technical field of optics. The light path system comprises a light source used for outputting red light; the light feeding element is arranged on an output light path of the light source and used for receiving the red light; the light feeding element comprises a first diffractive optical element and a second diffractive optical element arranged around the first diffractive optical element; wherein the second diffractive optical element is used for deflecting the direction of the red light so as to project the red light to the pupil of the user, and the first diffractive optical element is used for deflecting the direction of the red light so as to project the red light deviating from the pupil of the user. The damage to the macular in the red light treatment process by using the feeding light equipment for a long time is avoided, and the macular degeneration is effectively prevented.

The invention relates to the technical field of food, and discloses a composition for scavenging free radicals and relieving visual fatigue and application, the composition comprises the following components: 50-200 parts of blueberry fruit powder, 50-200 parts of blackcurrant fruit powder, 50-200 parts of black wolfberry fruit powder, 4-12 parts of lutein ester microcapsule powder, 1-4 parts of zeaxanthin, 50-200 parts of blueberry anthocyanin, 30-200 parts of DHA algal oil microcapsule powder and 5-20 parts of pyrroloquinoline quinone. The composition is a functional food, a health food or a medicine for scavenging free radicals, relieving visual fatigue, and preventing and assisting in treating vision decline caused by maculopathy and retinitis pigmentosa. Natural plant components and an efficient antioxidant are scientifically proportioned, the stability and bioavailability of the components are improved by adopting a microencapsulation technology, free radicals are effectively removed, visual fatigue is relieved, comprehensive nutrients needed by eyes are provided, and possible side effects in traditional eye protection products are avoided.

The invention relates to the related technical field of intervention devices, in particular to a non-intrusive intervention device based on 9.34 mu m far infrared light and a use method, the non-intrusive intervention device comprises a pair of tocopherical wave resonance glasses, and a passive tocopherical wave resonance chip is arranged on the tocopherical wave resonance glasses; the passive type birth wave resonance chip comprises a receiving and transmitting module, a processor module and an oscillation module, the receiving and transmitting module is used for receiving bioelectricity and transmitting birth waves, the processor module converts the bioelectricity into a birth wave spectrum wave band, and the oscillation module oscillates and amplifies the processed birth waves; according to the present invention, the problems that the existing PBM cannot efficiently activate the mitochondrial metabolism and lacks the targeting regulation on the fundus macular degeneration core mechanism (such as oxidative stress) are solved, the fundus macular degeneration progress is efficiently and safely inhibited, especially the oxidative stress and the mitochondrial dysfunction of the dry fundus macular degeneration are provided, and the invasive risk is avoided.

The invention provides a maculopathy image recognition method, system and device and a storage medium, and belongs to the field of medical image processing, and the method comprises the steps: obtaining an ophthalmology OCT medical image; the method comprises the following steps: on the basis of a Byol dual-network architecture, updating parameters of a target network in the Byol dual-network architecture through an adaptive moving average (ARMA) method to obtain a pre-trained contrast learning network; and inputting the ophthalmology OCT medical image into the pre-trained contrast learning network, and labeling the OCT medical image with the disease. A CSPDarkNet53 structure is used as a main network, a ResBlock-body module in the CSPDarkNet53 structure is replaced by a PCRBlock residual error network module, PSAM attention is introduced into the PCRBlock residual error network module, and a medical image classification network is obtained; and inputting the screened OCT medical image into a medical image classification network to obtain a maculopathy classification recognition result. And under the condition that the existing data volume is not increased, the classification accuracy of the model on different maculopathy types is improved.

The invention discloses a medical record structuring and standardization generation method for intelligent analysis of macular diseases. The method comprises the following steps: acquiring medical report data and a corresponding macular disease OCT (Optical Coherence Tomography) image; performing manual annotation on the medical report data; segmenting and marking the macular disease OCT image; using the marked medical report data to train a MedBERT model; finely adjusting the SAM model by using the segmented and labeled macular disease OCT image; unstructured macular disease OCT image matching texts are collected, and an extended corpus is constructed; using the trained MedBERT model to extract a structured label of the matched text of the macular disease OCT image; according to the trained MedBERT model and the SAM model after fine tuning, an SAMBERT model is constructed; inputting the macular disease OCT image and the structured label into the SAMBERT model, and performing multi-modal alignment training to generate an image label pair; and generating a standardized medical record text according to the image tag pair.

To provide a pharmaceutical composition for treating retinopathy (e.g., diabetic retinopathy) and / or maculopathy (e.g., age-related macular degeneration) in a subject who needs the composition.SOLUTION: Provided is a pharmaceutical composition containing an antibody which specifically binds to FAM19A5 protein or an antigen-binding portion thereof (anti FAM19A5 antibody), a polynucleotide encoding the anti FAM19A5 antibody, or a vector including a polynucleotide thereof, and is used for improving B-wave retinal potential on a retina compared to a standard.SELECTED DRAWING: None

The present invention relates to constructs and AAV particles comprising wild-type or codon-optimized NDP nucleic acid sequences. The present invention further relates to products and methods for treating one or more of Norrie's disease, age-related hearing loss, diabetic maculopathy and retinopathy, retinal neovascularization, retinal exudation, retinopathy of prematurity (ROP), familial exudative vitreoretinopathy (FEVR), Coats' disease, and other NDP-associated diseases, or other beta-catenin signaling-associated retinal diseases.

The present invention relates to a pharmaceutical composition for preventing or treating retinal or macular disease comprising a polypeptide of an amino acid sequence having at least 70% sequence identity to the amino acid sequence of TAFA proteins (e.g., TAFA1 to TAFA4), a nucleic acid encoding the polypeptide, a vector comprising the nucleic acid, a recombinant viral particle comprising the vector and a capsid protein, and a method for preparing the same. Or a cell comprising the nucleic acid or vector. Furthermore, the present invention relates to an adeno-associated viral (AAV) vector comprising a nucleic acid encoding a polypeptide comprising an amino acid sequence having at least 70% sequence identity to an amino acid sequence of a TAFA protein and a recombinant viral particle comprising the AAV vector and a capsid protein. The AAV vector, the recombinant virus, or the composition comprising the same according to the present invention can be effectively used in the prevention or treatment of retinal or macular diseases by restoring damaged retina.

1. The name of the design product: fundus examination instrument (ultra-wide-angle all-in-one machine). 2. The use of the design product: a device for fundus examination, which assists medical personnel in screening, diagnosing and monitoring fundus diseases, mainly for the detection and analysis of diabetic retinopathy, retinal detachment and macular degeneration and other fundus diseases. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view 1.

The utility model relates to the technical field of glasses, in particular to a photo-biological adjusting device for eye care, which comprises a mounting shell, an adjusting component is arranged on the side surface of the mounting shell, a mounting component is arranged at the top of the mounting shell, and through the arrangement of the adjusting component, after an adjusting knob is twisted, a bi-directional threaded rod is rotated to adjust a phototherapy lens, so that the eye care effect is improved. The device can be adjusted according to the needs of a user, then the eye position can be more effectively aligned by adjusting the phototherapy lens, the phototherapy lens moves leftwards and rightwards to linearly change the whole eye, blood circulation around the eye is promoted, meanwhile, the device is also helpful for patients with xerophthalmia and maculopathy, and practicability is improved; due to the fact that the sealing cover and the installation shell are made of resin and plastic respectively, the weight of the device can be reduced, the wearing burden of a user is relieved, meanwhile, the sealing cover and the installation shell are connected through the clamping strip and the clamping groove, disassembly and maintenance are convenient, and the working efficiency is improved.

The embodiment of the present application provides a maculopathy edema feature acquisition method in a retinal image and an electronic device, and relates to the technical field of image recognition. The maculopathy edema feature acquisition method in a retinal image comprises the following steps: acquiring a current retinal image to be recognized in a plurality of retinal images; determining an edema brightness threshold of the current retinal image based on the brightness value of the pixels in the vitreous body region of the current retinal image; and determining an edema region in the current retinal image based on the brightness value of each pixel in the current retinal image and the edema brightness threshold of the current retinal image, wherein the brightness value of the pixels in the edema region is less than the edema brightness threshold. The present application can extract the macular edema region in the image based on the brightness value of the pixels in the retinal image.