Patents by Inventor Kenan TURNACIOGLU

Kenan TURNACIOGLU 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).

  • Publication number: 20230030216
    Abstract: Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, wherein the digital image is an image of tissue specimen, determining a detection machine learning model, the detection machine learning model being generated by processing a plurality of training images to output a cancer qualification and further a cancer quantification if the cancer qualification is an confirmed cancer qualification, providing the digital image as an input to the detection machine learning model, receiving one of a pathological complete response (pCR) cancer qualification or a confirmed cancer quantification as an output from the detection machine learning model, and outputting the pCR cancer qualification or the confirmed cancer quantification.
    Type: Application
    Filed: October 5, 2022
    Publication date: February 2, 2023
    Inventors: Belma DOGDAS, Christopher KANAN, Thomas FUCHS, Leo GRADY, Kenan TURNACIOGLU
  • Patent number: 11494907
    Abstract: Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, wherein the digital image is an image of tissue specimen, determining a detection machine learning model, the detection machine learning model being generated by processing a plurality of training images to output a cancer qualification and further a cancer quantification if the cancer qualification is an confirmed cancer qualification, providing the digital image as an input to the detection machine learning model, receiving one of a pathological complete response (pCR) cancer qualification or a confirmed cancer quantification as an output from the detection machine learning model, and outputting the pCR cancer qualification or the confirmed cancer quantification.
    Type: Grant
    Filed: December 16, 2020
    Date of Patent: November 8, 2022
    Assignee: PAIGE.AI, INC.
    Inventors: Belma Dogdas, Christopher Kanan, Thomas Fuchs, Leo Grady, Kenan Turnacioglu
  • Publication number: 20210209753
    Abstract: Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, wherein the digital image is an image of tissue specimen, determining a detection machine learning model, the detection machine learning model being generated by processing a plurality of training images to output a cancer qualification and further a cancer quantification if the cancer qualification is an confirmed cancer qualification, providing the digital image as an input to the detection machine learning model, receiving one of a pathological complete response (pCR) cancer qualification or a confirmed cancer quantification as an output from the detection machine learning model, and outputting the pCR cancer qualification or the confirmed cancer quantification.
    Type: Application
    Filed: December 16, 2020
    Publication date: July 8, 2021
    Inventors: Belma DOGDAS, Christopher KANAN, Thomas FUCHS, Leo GRADY, Kenan TURNACIOGLU