Patents by Inventor Douglas Comrie Canfield

Douglas Comrie Canfield 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: 11887732
    Abstract: Described herein are systems and methods of selecting treatment parameters values for treating skin lesions. A device may establish a treatment parameter selection model using a training dataset. The training dataset may include a plurality of examples. Each example may include a sample image of an example skin lesion to which a treatment is administered using an applicator. Each example may include a first label indicating success or failure of the treatment. Each example may include a second label corresponding to treatment parameters defining the treatment. The device may identify an input image. The device may determine that the input image corresponds to a skin lesion based on visual characteristics of the input image. The device may apply the treatment parameter selection model to the input image to output a recommended treatment to apply. The device may store an association between the input image and the recommended treatment.
    Type: Grant
    Filed: October 19, 2020
    Date of Patent: January 30, 2024
    Assignee: Memorial Sloan Kettering Cancer Center
    Inventors: Allan C. Halpern, Steven Q. Wang, Douglas Comrie Canfield
  • Publication number: 20210287797
    Abstract: Described herein are systems and methods of selecting treatment parameters values for treating skin lesions. A device may establish a treatment parameter selection model using a training dataset. The training dataset may include a plurality of examples. Each example may include a sample image of an example skin lesion to which a treatment is administered using an applicator. Each example may include a first label indicating success or failure of the treatment. Each example may include a second label corresponding to treatment parameters defining the treatment. The device may identify an input image. The device may determine that the input image corresponds to a skin lesion based on visual characteristics of the input image. The device may apply the treatment parameter selection model to the input image to output a recommended treatment to apply. The device may store an association between the input image and the recommended treatment.
    Type: Application
    Filed: October 19, 2020
    Publication date: September 16, 2021
    Applicant: MEMORIAL SLOAN KETTERING CANCER CENTER
    Inventors: Allan C. HALPERN, Steven Q. WANG, Douglas Comrie CANFIELD
  • Patent number: 10811138
    Abstract: Described herein are systems and methods of selecting treatment parameters values for treating skin lesions. A device may establish a treatment parameter selection model using a training dataset. The training dataset may include a plurality of examples. Each example may include a sample image of an example skin lesion to which a treatment is administered using an applicator. Each example may include a first label indicating success or failure of the treatment. Each example may include a second label corresponding to treatment parameters defining the treatment. The device may identify an input image. The device may determine that the input image corresponds to a skin lesion based on visual characteristics of the input image. The device may apply the treatment parameter selection model to the input image to output a recommended treatment to apply. The device may store an association between the input image and the recommended treatment.
    Type: Grant
    Filed: March 11, 2020
    Date of Patent: October 20, 2020
    Assignee: Memorial Sloan Kettering Cancer Center
    Inventors: Allan C. Halpern, Steven Q. Wang, Douglas Comrie Canfield
  • Patent number: D827827
    Type: Grant
    Filed: June 2, 2016
    Date of Patent: September 4, 2018
    Assignee: Canfield Scientific, Incorporated
    Inventors: Douglas Comrie Canfield, Daniel Eric DiGregorio, James Paul Dornbusch, Stefan Assenov Kirov