Patents by Inventor Haojia Li

Haojia Li 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).

  • Predicting outcome in invasive breast cancer from collagen fiber orientation disorder features in tumor associated stroma
    Patent number: 10937159
    Abstract: Embodiments discussed herein relate to accessing a digitized image associated with a patient of tissue demonstrating breast cancer pathology; segmenting a tumor region represented in the digitized image; segmenting collagen fibers represented in the tumor region; computing collagen vectors based on the segmented collagen fibers; generating an orientation co-occurrence matrix based on the collagen vectors; computing a collagen fiber orientation disorder feature based on the co-occurrence matrix; upon determining that the collagen fiber orientation feature exceeds a threshold value: generating a prognosis of the region of tissue as unlikely to experience breast cancer recurrence; upon determining that the collagen fiber orientation feature is less than or equal to the threshold value: generating a prognosis of the region of tissue as likely to experience breast cancer recurrence; classifying the patient as high-risk of recurrence or low-risk of recurrence based, at least in part, on the prognosis; and displayin
    Type: Grant
    Filed: September 17, 2019
    Date of Patent: March 2, 2021
    Assignee: Case Western Reserve University
    Inventors: Anant Madabhushi, Haojia Li
  • PREDICTING OUTCOME IN INVASIVE BREAST CANCER FROM COLLAGEN FIBER ORIENTATION DISORDER FEATURES IN TUMOR ASSOCIATED STROMA
    Publication number: 20200242756
    Abstract: Embodiments discussed herein relate to accessing a digitized image associated with a patient of tissue demonstrating breast cancer pathology; segmenting a tumor region represented in the digitized image; segmenting collagen fibers represented in the tumor region; computing collagen vectors based on the segmented collagen fibers; generating an orientation co-occurrence matrix based on the collagen vectors; computing a collagen fiber orientation disorder feature based on the co-occurrence matrix; upon determining that the collagen fiber orientation feature exceeds a threshold value: generating a prognosis of the region of tissue as unlikely to experience breast cancer recurrence; upon determining that the collagen fiber orientation feature is less than or equal to the threshold value: generating a prognosis of the region of tissue as likely to experience breast cancer recurrence; classifying the patient as high-risk of recurrence or low-risk of recurrence based, at least in part, on the prognosis; and displayin
    Type: Application
    Filed: September 17, 2019
    Publication date: July 30, 2020
    Inventors: Anant Madabhushi, Haojia Li