Patents by Inventor Yim-lui Carol Cheung

Yim-lui Carol Cheung 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).

  • MULTI-TASK DEEP-LEARNING METHOD AND SYSTEM TO CLASSIFY DIABETIC MACULAR EDEMA FOR DIFFERENT OPTICAL COHERENCE TOMOGRAPHY DEVICES
    Publication number: 20240071063
    Abstract: A deep-learning method and systems for analyzing optical coherence tomography (OCT) images based on a convolutional neural network are provided. The method includes extracting a feature from one or more three-dimensional OCT volumetric scan images and classifying the OCT images with respect to diabetic macular edema (DME) based on results the feature extracted. The step of extracting a feature from one or more three-dimensional OCT volumetric scan images is performed by a neural network such as a neural network based on a ResNet-34 architecture. The method can further include extracting a feature from one or more two-dimensional (2D) OCT B-scan images and classifying the OCT images with respect to DME based on results of the 2D feature extracted. The step of extracting a feature from one or more 2D OCT B-scan images is performed by a neural network such as a neural network based on a ResNet-18 architecture.
    Type: Application
    Filed: August 26, 2022
    Publication date: February 29, 2024
    Inventors: Yim Lui Carol Cheung, Pheng Ann Heng, Fangyao Tang, Xi Wang
  • Methods and systems for automatic location of optic structures in an image of an eye, and for automatic retina cup-to-disc ratio computation
    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
  • METHODS AND SYSTEMS FOR AUTOMATIC LOCATION OF OPTIC STRUCTURES IN AN IMAGE OF AN EYE, AND FOR AUTOMATIC RETINA CUP-TO-DISC RATIO COMPUTATION
    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