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944 results about "Optic disk" patented technology

Retina eyeground image segmentation method based on depth full convolutional neural network

The invention discloses a retina eyeground image segmentation method based on a depth full convolutional neural network. The retina eyeground image segmentation method includes the following steps of:selecting a training set and a test set, extracting retina eyeground images to obtain optic disk positioning area images, and performing blood vessel removal operation on the optic disk positioning area images; constructing the depth full convolutional neural network, taking the optic disk positioning area images as the input of the depth full convolutional neural network, and performing the training of an optic disk segmentation model on the training set based on trained weight parameters as initial values to fine tune model parameters, and performing fine tuning on parameters of an optic cup segmentation model based on trained optic disk segmentation model parameters; and performing optic cup and optic disk segmentation on the test set by utilizing a trained optic cup segmentation model, performing ellipse fitting on final segmentation results, calculating a vertical cup-disk ratio according to optic cup and optic disk segmentation boundaries, and taking a cup-disk ratio result as important basis for a glaucoma auxiliary diagnosis. The retina eyeground image segmentation method achieves optic disk and optic cup automatic segmentation of the retina eyeground images, has high precision and fast speed.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Separate detection system and method of rare cells based on centrifugal micro-fluidic technology

The invention discloses a separate detection system and method of rare cells based on a centrifugal micro-fluidic technology. The system comprises a micro-fluidic chip similar to an optical disk, a centrifugal drive module and an optical detection module, wherein the micro-fluidic chip comprises a plurality of groups of micro-channels and micro-cavities arranged in a radiation manner; and the entire chip structure is composed of an elastic micro-column guide rail layer, a deformable film layer, a pipeline/cavity layer, a filtering membrane layer and a liquid waste collecting layer. The method comprises the steps of: firstly, leading a sample solution and immune modified microspheres into a liquid storage cavity through an injection port of the micro-fluidic chip in use, putting the sample solution and the immune modified microspheres on a centrifugal platform of the centrifugal drive module, assembling an elastic micro-column, and rotating at a low speed, so as to achieve fully mixing and reacting of the sample solution and immune modified microsphere liquid in the liquid storage cavity, separating by a high-speed rotary chip, and then dropwise adding a specifically recognized fluorescently-labeled antibody solution in each separate cell collection area, carrying out incubate reaction, adding a buffer solution and centrifuging, and finally identifying and analyzing through the optical detection module.
Owner:SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI

Fundus image optic cup and optic disk segmentation method and system for assisting glaucoma screening

ActiveCN110992382AEfficient Multi-Size ExtractionBoost backpropagationImage enhancementImage analysisInformation processingGlaucoma screening
The invention discloses a fundus image optic disc segmentation method and a system for assisting glaucoma screening, and relates to the technical field of image information processing. The fundus image optic disc segmentation method comprises the steps that a plurality of fundus images are collected and preprocessed, and a training image sample set and a verification image sample set are obtained;training of a constructed W-Net-Mcon full convolutional neural network by using the training image sample set to obtain an optimal W-Net-Mcon full convolutional neural networkis carried out; preprocessing the fundus image to be segmented, and inputting the preprocessed fundus image to be segmented into the optimal W-Net-Mcon full convolutional neural network to obtain a prediction target result image; Processing prediction target result graph by utilizing polar coordinate inverse transformation and ellipse fitting to obtain final segmentation result so as to obtain cup-to-disk ratio and finally obtain glaucoma preliminary screening result. According to the method, image semantic information can be effectively extracted in a multi-size mode, fusion of features of different levels, fusion of global features and detail features and encouragement of feature multiplexing are carried out, gradient back propagation is improved, and the image segmentation precision is improved.
Owner:SICHUAN UNIV

Arteriovenous retinal blood vessel classification method based on eye fundus image

The invention discloses an arteriovenous retinal blood vessel classification method based on an eye fundus image. The method includes the steps that first, a global blood vessel set and optic disk positioning information of the fundus image are acquired, the global blood vessel set is a set of all blood vessels in the fundus image, and the optic disk positioning information comprises the optic disk center of the fundus image; second, main blood vessels are determined according to the global blood vessel set and the optic disk positioning information and classified so that main blood vessel classification information can be obtained; third, the main blood vessel classification information is used for classifying the blood vessels in the global blood vessel set through a breadth first-search algorithm based on SAT so that global classification information can be obtained. According to the method, the classification information of the main blood vessels around an optic disk is first obtained, external expansion diffusion is performed from the main blood vessels through the breadth first-search algorithm based on SAT so that all the blood vessels can be obtained, a complete automatic blood vessel classification method is achieved, manual intervention is not needed, and classification precision is high.
Owner:杭州求是创新健康科技有限公司

Method for automatically identifying and distinguishing eye fundus images

The invention discloses a method for automatically identifying and distinguishing eye fundus images. The method comprises the following steps: obtaining black and white or colored eye fundus image pictures by using eye fundus photographic equipment, and storing the black and white or colored eye fundus image pictures according to a left eye or a right eye; dividing the eye fundus image of the left eye or the right eye into seven regions, which are respectively a first region-optic disk region, a second region-macular region, a third region- macular temporal region, a fourth region- area temporalis superior, a fifth region- area temporalis inferior, a sixth region- superior nasal region and a seventh region- inferior nasal region; and automatically judging that the collected eye fundus image belongs to one of the seven eye fundus regions through the computer graphics according to the optic disk, macular and vascular network information in the eye fundus image. The method disclosed by the invention is used for introducing automatic computer image identification into the processing of the images of the seven eye fundus regions, and extracting feature structures of different eye fundus regions to serve as reference for automatically locating and collecting the eye fundus image, and providing a brand new manner for researchers or film reading doctors to research and read the images of the seven eye fundus regions, so as to greatly improve the film reading efficiency and reduce the error probability.
Owner:成都银海启明医院管理有限公司
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