Patents by Inventor Vidya Kamath

Vidya Kamath 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).

  • Method and system for lesion detection in ultrasound images
    Patent number: 9277902
    Abstract: A method is provided for detecting lesions in ultrasound images. The method includes acquiring an ultrasound image, generating a Fisher-tippett (FT) distribution-based edge feature map from the acquired ultrasound image, generating gradient concentration (GC) scores for pixels of the acquired ultrasound image using the FT distribution-based edge feature map, and identifying a candidate lesion region within the acquired ultrasound image based on the GC scores.
    Type: Grant
    Filed: November 22, 2013
    Date of Patent: March 8, 2016
    Assignee: General Electric Company
    Inventors: Rakesh Mullick, Vivek Prabhakar Vaidya, Fei Zhao, Xiaoxing Li, Vidya Kamath, Kunlin Cao, Soma Biswas
  • METHOD AND SYSTEM FOR LESION DETECTION IN ULTRASOUND IMAGES
    Publication number: 20150148677
    Abstract: A method is provided for detecting lesions in ultrasound images. The method includes acquiring an ultrasound image, generating a Fisher-tippett (FT) distribution-based edge feature map from the acquired ultrasound image, generating gradient concentration (GC) scores for pixels of the acquired ultrasound image using the FT distribution-based edge feature map, and identifying a candidate lesion region within the acquired ultrasound image based on the GC scores.
    Type: Application
    Filed: November 22, 2013
    Publication date: May 28, 2015
    Applicant: General Electric Company
    Inventors: Rakesh MULLICK, Vivek Prabhakar VAIDYA, Fei ZHAO, Xiaoxing LI, Vidya KAMATH, Kunlin CAO, Soma BISWAS
  • Classification of breast lesion method and system
    Publication number: 20050129297
    Abstract: An automated method for determining a plurality of characteristics of a breast lesion is provided. The method comprises automatically identifying a region of interest in an image, the region of interest comprising the breast lesion, and preprocessing the region of interest to enhance a quality of the image. The method further comprises automatically segmenting the breast lesion in the region of interest and automatically measuring a plurality of measurements for determining the plurality of characteristics of the breast lesion. The breast lesion is automatically classified as benign or malignant based on the plurality of measurements.
    Type: Application
    Filed: December 15, 2003
    Publication date: June 16, 2005
    Inventors: Vidya Kamath, Kai Thomenius, Mannan Bakthavathsalu