Patents by Inventor Anna Gawlik

Anna Gawlik 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 prostate cancer biochemical recurrence and metastasis with computer extracted features from tumor nuclei and benign regions
    Patent number: 10776607
    Abstract: Embodiments predict biochemical recurrence (BCR) or metastasis by accessing a set of images of a region of tissue demonstrating cancerous pathology, including a tumor region and a tumor adjacent benign (TAB) region, the set of images including a first stain type image, and a second stain type image; segmenting cellular nuclei represented in the first and second image; generating a combined feature set by extracting at least one feature from each of a tumor region and TAB region represented in the first image, and a tumor region and TAB region represented in the second image, providing the combined feature set to a machine learning classifier; receiving, from the classifier, a probability that the region of tissue will experience BCR or metastasis; and generating a classification of the region of tissue as likely to experience BCR or metastasis, or unlikely to experience BCR or metastasis.
    Type: Grant
    Filed: May 18, 2018
    Date of Patent: September 15, 2020
    Assignee: Case Western Reserve University
    Inventors: Anant Madabhushi, Anna Gawlik, George Lee
  • PREDICTING PROSTATE CANCER BIOCHEMICAL RECURRENCE AND METASTASIS WITH COMPUTER EXTRACTED FEATURES FROM TUMOR NUCLEI AND BENIGN REGIONS
    Publication number: 20180336395
    Abstract: Embodiments predict biochemical recurrence (BCR) or metastasis by accessing a set of images of a region of tissue demonstrating cancerous pathology, including a tumor region and a tumor adjacent benign (TAB) region, the set of images including a first stain type image, and a second stain type image; segmenting cellular nuclei represented in the first and second image; generating a combined feature set by extracting at least one feature from each of a tumor region and TAB region represented in the first image, and a tumor region and TAB region represented in the second image, providing the combined feature set to a machine learning classifier; receiving, from the classifier, a probability that the region of tissue will experience BCR or metastasis; and generating a classification of the region of tissue as likely to experience BCR or metastasis, or unlikely to experience BCR or metastasis.
    Type: Application
    Filed: May 18, 2018
    Publication date: November 22, 2018
    Inventors: Anant Madabhushi, Anna Gawlik, George Lee