Patents by Inventor Islam Abdelmaksoud

Islam Abdelmaksoud 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).

  • Computer-aided diagnostic system for early diagnosis of prostate cancer
    Patent number: 11495327
    Abstract: Systems and methods for diagnosing prostate cancer. Image sets (e.g., MRI collected at one or more b-values) and biological values (e.g., prostate specific antigen (PSA)) have features extracted and integrated to produce a diagnosis of prostate cancer. The image sets are analyzed primarily in three steps: (1) segmentation, (2) feature extraction, smoothing, and normalization, and (3) classification. The biological values are analyzed primarily in two steps: (1) feature extraction and (2) classification. Each analysis results in diagnostic probabilities, which are then combined to pass through an additional classification stage. The end result is a more accurate diagnosis of prostate cancer.
    Type: Grant
    Filed: July 9, 2018
    Date of Patent: November 8, 2022
    Assignee: University of Louisville Research Foundation, Inc.
    Inventors: Ayman S. El-Baz, Ahmed Shalaby, Fahmi Khalifa, Islam Abdelmaksoud
  • COMPUTER-AIDED DIAGNOSTIC SYSTEM FOR EARLY DIAGNOSIS OF PROSTATE CANCER
    Publication number: 20200285714
    Abstract: Systems and methods for diagnosing prostate cancer. Image sets (e.g., MRI collected at one or more b-values) and biological values (e.g., prostate specific antigen (PSA)) have features extracted and integrated to produce a diagnosis of prostate cancer. The image sets are analyzed primarily in three steps: (1) segmentation, (2) feature extraction, smoothing, and normalization, and (3) classification. The biological values are analyzed primarily in two steps: (1) feature extraction and (2) classification. Each analysis results in diagnostic probabilities, which are then combined to pass through an additional classification stage. The end result is a more accurate diagnosis of prostate cancer.
    Type: Application
    Filed: July 9, 2018
    Publication date: September 10, 2020
    Applicant: University of Louisville Research Foundation, Inc.
    Inventors: Ayman S. El-Baz, Ahmed Shalaby, Fahmi Khalifa, Islam Abdelmaksoud
  • COMPUTER-AIDED DIAGNOSTIC SYSTEM FOR EARLY DIAGNOSIS OF PROSTATE CANCER
    Publication number: 20200012761
    Abstract: Systems and methods for diagnosing prostate cancer. Image sets (e.g., MRI collected at one or more b-values) and biological values (e.g., prostate specific antigen (PSA)) have features extracted and integrated to produce a diagnosis of prostate cancer. The image sets are analyzed primarily in three steps: (1) segmentation, (2) feature extraction, smoothing, and normalization, and (3) classification. The biological values are analyzed primarily in two steps: (1) feature extraction and (2) classification. Each analysis results in diagnostic probabilities, which are then combined to pass through an additional classification stage. The end result is a more accurate diagnosis of prostate cancer.
    Type: Application
    Filed: July 9, 2018
    Publication date: January 9, 2020
    Applicant: University of Louisville Research Foundation, Inc.
    Inventors: Ayman S. El-Baz, Ahmed Shalaby, Fahmi Khalifa, Islam Abdelmaksoud