Invention Grant
- Patent Title: Parameter selection model using image analysis
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Application No.: US17073951Application Date: 2020-10-19
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Publication No.: US11887732B2Publication Date: 2024-01-30
- Inventor: Allan C. Halpern , Steven Q. Wang , Douglas Comrie Canfield
- Applicant: MEMORIAL SLOAN KETTERING CANCER CENTER
- Applicant Address: US NY New York
- Assignee: Memorial Sloan Kettering Cancer Center
- Current Assignee: Memorial Sloan Kettering Cancer Center
- Current Assignee Address: US NY New York
- Agency: Foley & Lardner LLP
- Main IPC: G16H50/20
- IPC: G16H50/20 ; G16H50/50 ; G16H30/20 ; G16H30/40 ; G16H20/10 ; A61B5/00 ; G06T7/00

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.
Public/Granted literature
- US20210287797A1 PARAMETER SELECTION MODEL USING IMAGE ANALYSIS Public/Granted day:2021-09-16
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