Method and apparatus for automated detection of landmarks from 3D medical image data based on deep learning

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United States of America

PATENT NO 11995820
SERIAL NO

17295916

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Abstract

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A method for automated detection of landmarks from 3D medical image data using deep learning according to the present inventive concept, the method includes receiving a 3D volume medical image, generating a 2D intensity value projection image based on the 3D volume medical image, automatically detecting an initial anatomical landmark using a first convolutional neural network based on the 2D intensity value projection image, generating a 3D volume area of interest based on the initial anatomical landmark and automatically detecting a detailed anatomical landmark using a second convolutional neural network different from the first convolutional neural network based on the 3D volume area of interest.

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Patent Owner(s)

Patent OwnerAddress
IMAGOWORKS INCSEOUL SOUTH KEREAN SEOUL

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kim, Hannah Seoul, KR 12 934
Kim, Youngjun Seoul, KR 123 626

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