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公开(公告)号：US20140320820A1
公开(公告)日：2014-10-30
申请号：US14266491
申请日：2014-04-30
CPC分类号： A61B3/0008 , A61B3/1025 , A61B3/112
摘要： There is provided a method of monitoring retinopathy in a subject. The method involves measuring autofluorescence of a retina in response to high intensity blue light and infra-red reflectance of the anterior region of an eye in response to high intensity infra-red light of the subject over a total time period to obtain an autofluorescence intensity profile and an infra-red reflectance intensity profile. The autofluorescence intensity profile and infra-red reflectance intensity profile are processed to obtain a pupillary light reflex measurement that is used to assess the retinopathy status of the retina.
摘要翻译： 提供了一种监测受试者的视网膜病变的方法。 该方法涉及响应于高强度蓝光和眼睛前部区域的红外反射率响应于受试者的高强度红外光在总时间段内测量自发荧光以获得自发荧光强度分布 和红外线反射强度分布图。 处理自发荧光强度分布和红外反射强度分布，以获得用于评估视网膜视网膜病变状态的瞳孔光反射测量。
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公开(公告)号：US09684959B2
公开(公告)日：2017-06-20
申请号：US14423704
申请日：2013-08-26
发明人： Jun Cheng , Jiang Liu , Yanwu Xu , Fengshou Yin , Ngan Meng Tan , Wing Kee Damon Wong , Beng Hai Lee , Xiangang Cheng , Xinting Gao , Zhuo Zhang , Tien Yin Wong , Ching-Yu Cheng , Yim-lui Carol Cheung , Baskaran Mani , Tin Aung
CPC分类号： G06T7/0012 , G06K9/0061 , G06K9/00617 , G06K9/4633 , G06K9/6269 , G06K2009/4657 , G06T7/11 , G06T7/187 , G06T7/62 , G06T11/203 , G06T2200/28 , G06T2207/10024 , G06T2207/20016 , G06T2207/30041 , G06T2207/30196 , G06T2210/41
摘要： A method is proposed for automatically locating the optic disc or the optic cup in an image of the rear of an eye. A portion of the image containing the optic disc or optic cup is divided into sub-regions using a clustering algorithm. Biologically inspired features, and optionally other features, are obtained for each of the sub-regions. An adaptive model uses the features to generate data indicative of whether each sub-region is within or outside the optic disc or optic cup. The result is then smoothed, to form an estimate of the position of the optic disc or optic cup.
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3.发明申请METHODS AND SYSTEMS FOR AUTOMATIC LOCATION OF OPTIC STRUCTURES IN AN IMAGE OF AN EYE, AND FOR AUTOMATIC RETINA CUP-TO-DISC RATIO COMPUTATION 有权用于自动定位眼睛图像中的光学结构的方法和系统，以及用于自动立体镜对比度计算公开(公告)号：US20150187070A1
公开(公告)日：2015-07-02
申请号：US14423704
申请日：2013-08-26
发明人： Jun Cheng , Jiang Liu , Yanwu Xu , Fengshou Yin , Ngan Meng Tan , Wing Kee Damon Wong , Beng Hai Lee , Xiangang Cheng , Xinting Gao , Zhuo Zhang , Tien Yin Wong , Ching-Yu Cheng , Yim-lui Carol Cheung , Baskaran Mani , Tin Aung
CPC分类号： G06T7/0012 , G06K9/0061 , G06K9/00617 , G06K9/4633 , G06K9/6269 , G06K2009/4657 , G06T7/11 , G06T7/187 , G06T7/62 , G06T11/203 , G06T2200/28 , G06T2207/10024 , G06T2207/20016 , G06T2207/30041 , G06T2207/30196 , G06T2210/41
摘要： A method is proposed for automatically locating the optic disc or the optic cup in an image of the rear of an eye. A portion of the image containing the optic disc or optic cup is divided into sub-regions using a clustering algorithm. Biologically inspired features, and optionally other features, are obtained for each of the sub-regions. An adaptive model uses the features to generate data indicative of whether each sub-region is within or outside the optic disc or optic cup. The result is then smoothed, to form an estimate of the position of the optic disc or optic cup.
摘要翻译： 提出了一种用于将视盘或视杯自动定位在眼后方的图像中的方法。 使用聚类算法将包含视盘或视杯的图像的一部分划分成子区域。 为每个子区域获得生物启发特征，以及可选的其他特征。 自适应模型使用特征来产生指示每个子区域是否在视盘或视觉杯内或外的数据。 然后将结果平滑，以形成视盘或视杯的位置的估计。
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公开(公告)号：US20150125052A1
公开(公告)日：2015-05-07
申请号：US14406201
申请日：2013-06-05
发明人： Wing Kee Damon Wong , Xiangang Cheng , Jiang Liu , Ngan Meng Tan , Beng Hai Lee , Fengshou Yin , Mayuri Bhargava , Gemmy Cheung , Tien Yin Wong
CPC分类号： G06T7/0012 , G06K9/00597 , G06K9/46 , G06K9/4642 , G06K9/4676 , G06K9/6223 , G06K9/6227 , G06K2009/4666 , G06T7/40 , G06T7/90 , G06T2207/30041
摘要： A method is proposed for automatically analysing a retina image, to identify the presence of drusen which is indicative of age-related macular degeneration. The method proposes dividing a region of interest including the macula centre into patches, obtaining a local descriptor of each of the patches, reducing the dimensionality of the local descriptor by comparing the local descriptor to a tree-like clustering model and obtaining transformed data indicating the identity of the cluster. The transformed data is fed into an adaptive model which generates data indicative of the presence of drusen in the retinal image. Furthermore, the trans formed data can be used to obtain the location of the drusen within the image.
摘要翻译： 提出一种自动分析视网膜图像的方法，以确定指示年龄相关性黄斑变性的玻璃疣的存在。 该方法提出将包括黄斑中心的感兴趣区域划分为斑块，获得每个斑块的局部描述符，通过将本地描述符与树状聚类模型进行比较来获得局部描述符的维度，并获得指示 集群的身份。 将变换的数据馈送到自适应模型，其生成指示视网膜图像中玻璃疣的存在的数据。 此外，反式形成的数据可以用于获得图像中的玻璃疣的位置。
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公开(公告)号：US20220157048A1
公开(公告)日：2022-05-19
申请号：US17428955
申请日：2020-02-07
发明人： Daniel Shu Wei Ting , Gavin Siew Wei Tan , Tien Yin Wong , Ching-Yu Cheng , Chui Ming Gemmy Cheung , Yong Liu , Shaohua Li , Rick Siow Mong Goh
摘要： A computer-aided diagnosis (CAD) system for classification and visualisation of a 3D medical image comprises a classification component comprising a 2D convolutional neural network (CNN) that is configured to generate a prediction of one or more classes for 2D slices of the 3D medical image. The system also comprises a visualisation component that is configured to: determine, for a target class of said one or more classes, which slices belong to the target class; for each identified slice, determine, by back-propagation to an intermediate layer of the CNN, a contribution of each pixel of the identified slice to classification of the identified slice as belonging to the target class; and generate a heatmap that provides a visual indication of the contributions of respective pixels.
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公开(公告)号：US09445716B2
公开(公告)日：2016-09-20
申请号：US14828262
申请日：2015-08-17
发明人： Jiang Liu , Zhuo Zhang , Wing Kee Damon Wong , Ngan Meng Tan , Fengshou Yin , Beng Hai Lee , Huiqi Li , Joo Hwee Lim , Carol Cheung , Tin Aung , Tien Yin Wong , Ziyang Liang , Jun Cheng , Baskaran Mani
CPC分类号： A61B3/0025 , A61B3/12 , A61B5/02007 , A61B5/7264 , A61B5/7267 , A61B5/7275 , G06T7/0012 , G06T7/40 , G06T2207/30041
摘要： A non-stereo fundus image is used to obtain a plurality of glaucoma indicators. Additionally, genome data for the subject is used to obtain genetic marker data relating to one or more genes and/or SNPs associated with glaucoma. The glaucoma indicators and genetic marker data are input into an adaptive model operative to generate an output indicative of a risk of glaucoma in the subject. In combination, the genetic indicators and genome data are more informative about the risk of glaucoma than either of the two in isolation. The adaptive model may be a two-stage model, having a first stage in which individual genetic indicators are combined with respective portions of the genome data by first adaptive model modules to form respective first outputs, and a second stage in which the first outputs are combined by a second adaptive mode. Texture analysis is performed on the fundus images to classify them based on their quality, and only images which are determined to meet a quality criterion are subjected to an analysis to determine if they exhibit glaucoma indicators. Also, the images are put into a standard format. The system may include estimating the position of the optic cup by combining results from multiple optic cup segmentation techniques. The system may include estimating the position of the optic disc by applying edge detection to the funds image, excluding edge points that are unlikely to be optic disc boundary points, and estimating the position of an optic disc by fitting an ellipse to the remaining edge points.
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公开(公告)号：US11266710B2
公开(公告)日：2022-03-08
申请号：US16641978
申请日：2018-08-31
发明人： Michael Belkin , Veluchamy Amutha Barathi , Rajamani Lakshminarayanan , R. Manjunatha Kini , Ge Ruowen , Tien Yin Wong , Gemmy Chui Ming Cheung
摘要： This disclosure provides methods of a method of treating a retinal angiogenic in a subject comprising administering an effective amount of an Angio-3 peptide.
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公开(公告)号：US11954854B2
公开(公告)日：2024-04-09
申请号：US17429109
申请日：2020-02-11
发明人： Wynne Hsu , Mong Li Lee , Dejiang Xu , Tien Yin Wong , Yim Lui Cheung
CPC分类号： G06T7/0012 , G06V10/454 , G06V10/764 , G06V10/82 , G06V40/193 , G06V40/197 , G06T2207/20081 , G06T2207/20084 , G06T2207/30041 , G06V2201/03
摘要： Disclosed is a method for training a neural network to quantify the vessel calibre of retina fundus images. The method involves receiving a plurality of fundus images; pre-processing the fundus images to normalise images features of the fundus images; and training a multi-layer neural network, the neural network comprising of a convolutional unit, multiple dense blocks alternating with transition units for down-sampling image features determined by the neural network, and a fully-connected unit, wherein each dense block comprises a series of cAdd units packed with multiple convolutions, and each transition layer comprises a convolution with pooling.
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公开(公告)号：US20200211235A1
公开(公告)日：2020-07-02
申请号：US16634442
申请日：2018-07-24
发明人： Wynne Hsu , Mong Li Lee , Gilbert Lim , Tien Yin Wong , Shu Wei Daniel Ting
摘要： A method of modifying a retina fundus image for a deep learning model is disclosed. In a described embodiment, the method includes converting a retina fundus image to a binary image by converting pixels of the retina fundus image to low intensity modified pixels and high intensity modified pixels of the binary image, and determining a first boundary between the low intensity modified pixels and high intensity modified pixels of the binary image. The method further includes removing outlier boundary values from the first boundary, constructing a second boundary from remaining boundary values, identifying the pixels of the retina fundus image that are within the second boundary, and constructing a modified retina fundus image containing the identified pixels for a deep learning model.
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公开(公告)号：US11373740B2
公开(公告)日：2022-06-28
申请号：US16315162
申请日：2017-06-15
发明人： Mohamed Dirani , Tien Yin Wong , Dan Belkin , Xiaoqin Fang
摘要： A method and apparatus for monitoring arid for improving eye health of a user of a device, the method comprising receiving m indication that an event occurred associated with rise of the device; updating data on the device according to the data included in a user profile associated with a user; generating a personalized user interface and displaying said interface on the device; detecting a distance of the user from the device; and providing an indication once the distance exceeds a predefined threshold for a predefined time period.
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