3-D convolutional neural networks for organ segmentation in medical images for radiotherapy planning

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United States of America Patent

PATENT NO 11676281
SERIAL NO

17380914

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Abstract

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Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for segmenting a medical image. In one aspect, a method comprises: receiving a medical image that is captured using a medical imaging modality and that depicts a region of tissue in a body; and processing the medical image using a segmentation neural network to generate a segmentation output. The segmentation neural network can include a sequence of multiple encoder blocks and a decoder subnetwork. Training the segmentation neural network can include determining a set of error values for a segmentation channel; identifying the highest error values from the set of error values for the segmentation channel; and determining a segmentation loss based on the highest error values identified for the segmentation channel.

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Patent OwnerAddress
GOOGLE LLC1600 AMPHITHEATRE PARKWAY MOUNTAIN VIEW CA 94043

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Askham, Harry London, GB 6 76
Back, Trevor Saffron Walden, GB 7 77
Blackwell, Samuel London, GB 7 116
De, Fauw Jeffrey London, GB 7 86
Hughes, Cian London, GB 4 39
Ledsam, Joseph R Tokyo, JP 7 77
Meyer, Clemens Ludwig London, GB 3 7
Nikolov, Stanislav London, GB 5 74
Romera-Paredes, Bernardino London, GB 7 76
Ronneberger, Olaf London, GB 10 76

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