Co-heterogeneous and adaptive 3D pathological abdominal organ segmentation using multi-source and multi-phase clinical image datasets

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United States of America Patent

PATENT NO 11568174
APP PUB NO 20210256315A1
SERIAL NO

17089257

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The present disclosure describes a computer-implemented method for processing clinical three-dimensional image. The method includes training a fully supervised segmentation model using a labelled image dataset containing images for a disease at a predefined set of contrast phases or modalities, allow the segmentation model to segment images at the predefined set of contrast phases or modalities; finetuning the fully supervised segmentation model through co-heterogenous training and adversarial domain adaptation (ADA) using an unlabelled image dataset containing clinical multi-phase or multi-modality image data, to allow the segmentation model to segment images at contrast phases or modalities other than the predefined set of contrast phases or modalities; and further finetuning the fully supervised segmentation model using domain-specific pseudo labelling to identify pathological regions missed by the segmentation model.

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Patent OwnerAddress
PING AN TECHNOLOGY (SHENZHEN) CO LTD518000 GUANGDONG SHENZHEN FUTIAN DISTRICT FUTIAN STREET FU'AN COMMUNITY YITIAN ROAD 5033 PING AN FINANCIAL CENTER 23 FLOOR SHENZHEN CITY GUANGDONG PROVINCE 518000

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Cai, Jinzheng Bethesda, US 10 10
Harrison, Adam P Bethesda, US 10 15
Huo, Yuankai Bethesda, US 7 10
Lu, Le Bethesda, US 45 327
Raju, Ashwin Bethesda, US 3 3

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