Optimizing rendering condition for medical image data based on detection certainty from machine learning model
AssigneeCanon Medical Systems Corporation
InventorPaul Thomson
Life of this patent
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Abstract
A medical image processing apparatus comprising processing circuitry configured to: receive medical image data including a region of interest; generate first rendering data by rendering the medical image data based on a first rendering condition; receive a characteristic value relating to detection certainty with respect to the region of interest by inputting the first rendering data to a machine learning model; determine a property of the first rendering condition based on the characteristic value.
Claims20
A medical image processing apparatus comprising processing circuitry configured to:
- receive medical image data including a region of interest;
- generate first rendering data by rendering the medical image data based on a first rendering condition;
- receive a characteristic value relating to detection certainty with respect to the region of interest by inputting the first rendering data to a machine learning model;
- determine a property of the first rendering condition based on the characteristic value.
A medical image processing method, comprising:
- receiving medical image data including a region of interest;
- generating first rendering data by rendering the medical image data based on a first rendering condition;
- receiving a characteristic value relating to detection certainty with respect to the region of interest by inputting the first rendering data to a machine learning model;
- determining a property of the first rendering condition based on the characteristic value.
A medical image processing apparatus comprising processing circuitry configured to:
- train a machine learning model to perform a detection task on first rendering data with respect to a region of interest of medical image data, wherein the training is performed on a training set of rendering data that are annotated.
A training method comprising:
- training a machine learning model to perform a detection task on first rendering data with respect to a region of interest of medical image data, wherein the training is performed on a training set of rendering data that are annotated.
Dependencies are inferred from the claim text.