Patents by Inventor Benjamin P. Cahoon

Benjamin P. Cahoon 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).

  • Training and machine learning classification of mold in digital microscopy images
    Patent number: 10311573
    Abstract: Systems, methods, and devices for classifying or detecting mold samples or training computer models (such as neural networks), are disclosed. A method includes obtaining a microscopy image of a mold sample. The method includes determining a classification of the mold sample based on non-image data corresponding to the mold sample. The method further includes training a computer model based on the microscopy image and a label indicating the classification.
    Type: Grant
    Filed: May 2, 2017
    Date of Patent: June 4, 2019
    Assignee: Techcyte, Inc.
    Inventors: S. Russell Zimmerman, Ralph Yarro, III, Benjamin P. Cahoon, Richard Boyd Smith, Hyrum S. Anderson
  • TRAINING AND MACHINE LEARNING CLASSIFICATION OF MOLD IN DIGITAL MICROSCOPY IMAGES
    Publication number: 20180322634
    Abstract: Systems, methods, and devices for classifying or detecting mold samples or training computer models (such as neural networks), are disclosed. A method includes obtaining a microscopy image of a mold sample. The method includes determining a classification of the mold sample based on non-image data corresponding to the mold sample. The method further includes training a computer model based on the microscopy image and a label indicating the classification.
    Type: Application
    Filed: May 2, 2017
    Publication date: November 8, 2018
    Applicant: TechCyte, Inc.
    Inventors: S. Russell Zimmerman, Ralph Yarro, III, Benjamin P. Cahoon, Richard Boyd Smith, Hyrum S. Anderson