Patents by Inventor Vida Kianzad

Vida Kianzad 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).

  • System and method for unsupervised detection and gleason grading of prostate cancer whole mounts using NIR fluorscence
    Patent number: 8139831
    Abstract: A method for unsupervised classification of histological images of prostatic tissue includes providing histological image data obtained from a slide simultaneously co-stained with NIR fluorescent and Hematoxylin-and-Eosin (H&E) stains, segmenting prostate gland units in the image data, forming feature vectors by computing discriminating attributes of the segmented gland units, and using the feature vectors to train a multi-class classifier, where the classifier classifies prostatic tissue into benign, prostatic intraepithelial neoplasia (PIN), and Gleason scale adenocarcinoma grades 1 to 5 categories.
    Type: Grant
    Filed: December 2, 2008
    Date of Patent: March 20, 2012
    Assignee: Siemens Aktiengesellschaft
    Inventors: Ali Khamene, Tina Ehtiati, John V. Frangioni, Vida Kianzad, Fred S. Azar
  • SYSTEM AND METHOD FOR UNSUPERVISED DETECTION AND GLEASON GRADING OF PROSTATE CANCER WHOLE MOUNTS USING NIR FLUORSCENCE
    Publication number: 20090161928
    Abstract: A method for unsupervised classification of histological images of prostatic tissue includes providing histological image data obtained from a slide simultaneously co-stained with NIR fluorescent and Hematoxylin-and-Eosin (H&E) stains, segmenting prostate gland units in the image data, forming feature vectors by computing discriminating attributes of the segmented gland units, and using the feature vectors to train a multi-class classifier, where the classifier classifies prostatic tissue into benign, prostatic intraepithelial neoplasia (PIN), and Gleason scale adenocarcinoma grades 1 to 5 categories.
    Type: Application
    Filed: December 2, 2008
    Publication date: June 25, 2009
    Applicant: Siemens Corporate Research, Inc.
    Inventors: Ali Khamene, Tina Ehtiati, John V. Frangioni, Vida Kianzad, Fred S. Azar