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    DOMAIN ADAPTION FOR PROSTATE CANCER DETECTION
    1.
    发明公开
    DOMAIN ADAPTION FOR PROSTATE CANCER DETECTION 审中-公开

    公开(公告)号：EP4443186A1

    公开(公告)日：2024-10-09

    申请号：EP24168740.9

    申请日：2024-04-05

    申请人： Siemens Healthineers AG

    发明人： KAMEN, Ali ,  LOU, Bin

    IPC分类号： G01R33/56 ,  A61B5/055 ,  G06N3/045 ,  G06N3/096 ,  G06T7/00 ,  G01R33/563

    CPC分类号： A61B5/055 ,  G06N3/045 ,  G06N3/096 ,  G06T7/0012 ,  G01R33/56341 ,  G01R33/5608 ,  G06T2207/2008120130101 ,  G06T2207/1008820130101 ,  G06T2207/3008120130101

    摘要： Systems and methods for performing a medical imaging analysis task using a machine learning based model are provided. One or more input medical images acquired using one or more out-of-distribution image acquisition parameters and having out-of-distribution imaging properties are received. The one or more out-of-distribution image acquisition parameters and the out-of-distribution imaging properties are out-of-distribution with respect to training data on which the machine learning based model is trained. One or more synthesized medical images are generated from the one or more input medical images using a machine learning based generator network. The one or more synthesized medical images are generated for one or more in-distribution image acquisition parameters and have in-distribution imaging properties. The one or more in-distribution image acquisition parameters and the in-distribution imaging properties are in-distribution with respect to the training data on which the machine learning based model is trained. The medical imaging analysis task is performed based on the one or more synthesized medical images using the machine learning based model. Results of the medical imaging analysis task are output.