Feature based neural network regression for feature suppression

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United States of America Patent

PATENT NO 8204292
APP PUB NO 20090290779A1
SERIAL NO

12246130

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Abstract

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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.

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Patent Owner(s)

Patent OwnerAddress
CETUS CORP6450 SAND LAKE ROAD SUITE 200 DAYTON OH 45414-2645

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Knapp, Jason Miamisburg, US 5 48
Worrell, Steve Springborgo, US 5 47

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