Patents by Inventor Hernani D. Cualing

Hernani D. Cualing 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).

  • Patent number: 9607372
    Abstract: The invention determines cell to fat ratio statistic, applicable in the field of pathology, in a greatly improved manner over manual or prior art scoring techniques. The cellular areas are identified and displayed in an easy to read format on the computer monitor, printer output or other display means, with average cellularity, nuclear quantity distribution at a glance. These output data are an objective transformation of the subjective visible image that the pathologist or scientist relies upon for diagnosis, prognosis, or monitoring therapeutic perturbations. The invention uses multi-stage thresholding and segmentation algorithms in RGB and HSB spaces, auto-thresholding on red and blue channels in RGB to get the raw working image of all cells, then refines the working image with thresholding on hue and intensity channels in HSB using an adaptive parameter epsilon in entropy mode, and further separates different groups of cells within the same class, by auto-thresholding within the working image region.
    Type: Grant
    Filed: July 11, 2008
    Date of Patent: March 28, 2017
    Inventors: Hernani D. Cualing, Eric Zhong
  • Publication number: 20100254588
    Abstract: The invention determines cell to fat ratio statistic, applicable in the field of pathology, in a greatly improved manner over manual or prior art scoring techniques. The cellular areas are identified and displayed in an easy to read format on the computer monitor, printer output or other display means, with average cellularity, nuclear quantity distribution at a glance. These output data are an objective transformation of the subjective visible image that the pathologist or scientist relies upon for diagnosis, prognosis, or monitoring therapeutic perturbations. The invention uses multi-stage thresholding and segmentation algorithms in RGB and HSB spaces, auto-thresholding on red and blue channels in RGB to get the raw working image of all cells, then refines the working image with thresholding on hue and intensity channels in HSB using an adaptive parameter epsilon in entropy mode, and further separates different groups of cells within the same class, by auto-thresholding within the working image region.
    Type: Application
    Filed: July 11, 2008
    Publication date: October 7, 2010
    Inventors: Hernani D. Cualing, Eric Zhong