Patents by Inventor Tien Yin Wong

Tien Yin Wong has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220130037
    Abstract: 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.
    Type: Application
    Filed: February 11, 2020
    Publication date: April 28, 2022
    Applicants: National University of Singapore, Singapore Health Services Pte Ltd
    Inventors: Wynne HSU, Mong Li LEE, Dejiang XU, Tien Yin WONG, Yim Lui CHEUNG
  • Patent number: 11266710
    Abstract: 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.
    Type: Grant
    Filed: August 31, 2018
    Date of Patent: March 8, 2022
    Assignee: Singapore Health Services Pte Ltd.
    Inventors: Michael Belkin, Veluchamy Amutha Barathi, Rajamani Lakshminarayanan, R. Manjunatha Kini, Ge Ruowen, Tien Yin Wong, Gemmy Chui Ming Cheung
  • Patent number: 11200707
    Abstract: 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.
    Type: Grant
    Filed: July 24, 2018
    Date of Patent: December 14, 2021
    Assignees: National University of Singapore, Singapore Health Services Pte Ltd
    Inventors: Wynne Hsu, Mong Li Lee, Gilbert Lim, Tien Yin Wong, Shu Wei Daniel Ting
  • Publication number: 20200246417
    Abstract: 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.
    Type: Application
    Filed: August 31, 2018
    Publication date: August 6, 2020
    Inventors: Michael BELKIN, Veluchamy Amutha BARATHI, Rajamani LAKSHMINARAYANAN, R. Manjunatha KINI, Ge RUOWEN, Tien Yin WONG, Gemmy Chui Ming CHEUNG
  • Publication number: 20200211235
    Abstract: 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.
    Type: Application
    Filed: July 24, 2018
    Publication date: July 2, 2020
    Applicants: National University of Singapore, Singapore Health Services Pte Ltd
    Inventors: Wynne Hsu, Mong Li Lee, Gilbert Lim, Tien Yin Wong, Shu Wei Daniel Ting
  • Publication number: 20190252054
    Abstract: 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.
    Type: Application
    Filed: June 15, 2017
    Publication date: August 15, 2019
    Inventors: Mohamed DIRANI, Tien Yin WONG, Dan BELKIN, Xiaoqin FANG
  • Patent number: 9684959
    Abstract: 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.
    Type: Grant
    Filed: August 26, 2013
    Date of Patent: June 20, 2017
    Assignees: Agency for Science, Technology and Research, Singapore Health Services Pte Ltd
    Inventors: 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
  • Patent number: 9445716
    Abstract: 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.
    Type: Grant
    Filed: August 17, 2015
    Date of Patent: September 20, 2016
    Assignees: Agency for Science, Technology and Research, Singapore Health Services Pte Ltd
    Inventors: 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
  • Publication number: 20160100753
    Abstract: 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.
    Type: Application
    Filed: August 17, 2015
    Publication date: April 14, 2016
    Inventors: 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
  • Patent number: 9107617
    Abstract: 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.
    Type: Grant
    Filed: November 16, 2010
    Date of Patent: August 18, 2015
    Assignees: Agency for Science, Technology and Research, Singapore Health Services Pte Ltd.
    Inventors: 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
  • Publication number: 20150187070
    Abstract: 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.
    Type: Application
    Filed: August 26, 2013
    Publication date: July 2, 2015
    Inventors: 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
  • Publication number: 20150125052
    Abstract: 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.
    Type: Application
    Filed: June 5, 2013
    Publication date: May 7, 2015
    Inventors: Wing Kee Damon Wong, Xiangang Cheng, Jiang Liu, Ngan Meng Tan, Beng Hai Lee, Fengshou Yin, Mayuri Bhargava, Gemmy Cheung, Tien Yin Wong
  • Patent number: 8958621
    Abstract: An OCT image of an eye which has been subject to a DSAEK corneal transplant, in which a Descement's membrane in the cornea has been replaced by a graft, is processed to identify the outline of the graft. The process includes the steps of: computationally extracting the boundary of the cornea including the graft; computationally detecting the corners of the graft; computationally extracting points on the boundary between the graft and the original cornea; and computationally fitting the points on the boundary between the graft and the original cornea smoothly into a curve. The outline of the graft is then displayed. A graft profile may be generated, indicating the thickness of the graft at each point along its length.
    Type: Grant
    Filed: August 3, 2011
    Date of Patent: February 17, 2015
    Assignees: Agency for Science, Technology and Research, Singapore Health Services Pte Ltd.
    Inventors: Beng Hai Lee, Jun Cheng, Jiang Liu, Wing Kee Damon Wong, Ngan Meng Tan, Jodhbir Singh Mehta, Tiang Hwee Donald Tan, Tien Yin Wong
  • Publication number: 20140320820
    Abstract: 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.
    Type: Application
    Filed: April 30, 2014
    Publication date: October 30, 2014
    Applicants: Agency for Science, Technology and Research, Singapore Health Services Pte Ltd
    Inventors: Saravana Kumar Kumarasamy, Tien Yin Wong, Barathi Veluchamy Amutha, Shyam Sunder Chaurasia
  • Patent number: 8705826
    Abstract: A two-dimensional retinal fundus image of the retinal fundus of an eye is processed by optic disc segmentation (2) followed by cup segmentation 4. Data derived from the optic disc segmentation (i.e. the output of the disc segmentation (2) and/or data derived from the output of the optic disc segmentation step, e.g. by a smoothing operation 3) and data derived from the out-put of the optic cup segmentation (i.e. the output of the cup segmentation (4) and/or data derived from the output of the optic disc segmentation, e.g. by a smoothing operation 5) are fed (6) to an adaptive model which has been trained to generate from such inputs a value indicative of cup-to-disc ratio (CDR) of the eye. The CDR is indicative of glaucoma. Thus, the method can be used to screen patients for glaucoma.
    Type: Grant
    Filed: May 14, 2008
    Date of Patent: April 22, 2014
    Assignee: Agency for Science, Technology and Research
    Inventors: Jiang Liu, Joo Hwee Lim, Wing Kee Wong, Huiqi Li, Tien Yin Wong
  • Patent number: 8687862
    Abstract: A platform is proposed for automated analysis of retinal images, for obtaining from them information characterizing retinal blood vessels which may be useful in forming a diagnosis of a medical condition. A first aspect of the invention proposes that a plurality of characteristics of the retina are extracted, in order to provide data which is useful for enabling an evaluation of cardiovascular risk prediction, or even diagnosis of a cardiovascular condition. A second aspect uses fractal analysis of retinal images to provide vascular disease risk prediction, such as, but not limited to, diabetes and hypertension.
    Type: Grant
    Filed: February 3, 2009
    Date of Patent: April 1, 2014
    Assignee: National University of Singapore
    Inventors: Wynne Hsu, Mong Li Lee, Tien Yin Wong
  • Publication number: 20130251230
    Abstract: An OCT image of an eye which has been subject to a DSAEK corneal transplant, in which a Descement's membrane in the cornea has been replaced by a graft, is processed to identify the outline of the graft. The process includes the steps of: computationally extracting the boundary of the cornea including the graft; computationally detecting the corners of the graft; computationally extracting points on the boundary between the graft and the original cornea; and computationally fitting the points on the boundary between the graft and the original cornea smoothly into a curve. The outline of the graft is then displayed. A graft profile may be generated, indicating the thickness of the graft at each point along its length.
    Type: Application
    Filed: August 3, 2011
    Publication date: September 26, 2013
    Inventors: Beng Hai Lee, Jun Cheng, Jiang Liu, Wing Kee Damon Wong, Ngan Meng Tan, Jodhbir Singh Mehta, Tiang Hwee Donald Tan, Tien Yin Wong
  • Publication number: 20130222767
    Abstract: A method is presented for deciding whether an eye exhibits peripapillary atrophy (PPA). It includes a preliminary step of extracting from an image of the eye a region-of-interest which would be affected if the eye exhibits peripapillary atrophy, which is a region which surrounds the optic disc, and then processing the region in a way which mimics the processing of the cortex, to derive a plurality of numerical measures (biologically-inspired features, BIF). A decision step is then performed using the BIF, for example using an adaptive system which has been subject to a supervised learning process. Preferably, the region-of-interest is partitioned into a plurality of sub-regions, and the BIF are derived as a corresponding plurality of numerical measures for each of the sub-regions.
    Type: Application
    Filed: October 12, 2012
    Publication date: August 29, 2013
    Inventors: Jun CHENG, Jiang LIU, Wing Kee Damon WONG, Ngan Meng TAN, Seang Mei SAW, Tien Yin WONG
  • Patent number: 8428322
    Abstract: A method for determining the position of an optic cup boundary in a 2D retinal image. The method includes detecting kinks in blood vessels at an estimated boundary of the optic cup and the optic disc, and determining the position of the optic cup boundary in the 2D retinal image based on the detected kinks. The determined optic cup boundary may be used for determining a CDR which may in turn be used for determining a risk of contracting glaucomatous.
    Type: Grant
    Filed: December 15, 2008
    Date of Patent: April 23, 2013
    Assignees: Singapore Health Services Pte Ltd, Agency for Science, Technology and Research, National University of Singapore
    Inventors: Wing Kee Damon Wong, Jiang Liu, Joo Hwee Lim, Huiqi Li, Ngan Meng Tan, Tien Yin Wong
  • Publication number: 20120230564
    Abstract: 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 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.
    Type: Application
    Filed: November 16, 2010
    Publication date: September 13, 2012
    Inventors: 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