Feature based neural network regression for feature suppression
AssigneeRiverain Medical Group, LLC
InventorsJason Knapp, Steve Worrell
Life of this patent
Estimating the term…
Abstract
A method of obtaining one or more components from an image may include normalizing and pre-processing the image to obtain a processed image. Features may be extracted from the processed image. Neural-network-based regression may then be performed on the set of extracted features to predict the one or more components. These techniques may be applied, for example, to the problem of extracting and removing bone components from radiographic images, which may be thoracic (lung) images.
Claims46
A method of obtaining one or more components from an image, the method comprising:
- normalizing and pre-processing the image to obtain a processed image;
- extracting features from the processed image to obtain a set of extracted features;
- and
- performing neural-network-based regression based on the set of extracted features to predict the one or more components.
A machine-readable storage medium containing instructions that, when executed by a processor, cause the processor to implement a method of obtaining one or more components from an image, the method comprising:
- normalizing and pre-processing the image to obtain a processed image;
- extracting features from the processed image to obtain a set of extracted features;
- and
- performing neural-network-based regression based on the set of extracted features to predict the one or more components.
An apparatus for obtaining one or more components from an image, comprising:
- means for normalizing and pre-processing the image to obtain a processed image;
- means for extracting features from the processed image to obtain a set of extracted features;
- and
- means for performing neural-network-based regression based on the set of extracted features to predict the one or more components.
Dependencies are inferred from the claim text.