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    METHODS FOR TRAINING A CNN AND FOR PROCESSING AN INPUTTED PERFUSION SEQUENCE USING SAID CNN
    2.
    发明公开
    METHODS FOR TRAINING A CNN AND FOR PROCESSING AN INPUTTED PERFUSION SEQUENCE USING SAID CNN 审中-公开

    公开(公告)号：EP4016107A1

    公开(公告)日：2022-06-22

    申请号：EP20306625.3

    申请日：2020-12-18

    申请人： Guerbet

    发明人： BONE, ALEXANDRE ,  VERON VIALARD, Julien ,  ROBERT, Philippe ,  ROHE, Marc-Michel

    IPC分类号： G01R33/563 ,  G01R33/56 ,  G06N3/04 ,  A61B6/00 ,  G06N3/08 ,  A61B5/055

    摘要： The present invention relates to a method for processing an inputted perfusion sequence, by means of a convolutional neural network, CNN, the method being characterized in that it comprises the implementation, by a data processor (11b) of a second server (1b), of steps of:
    (b) extracting, using an encoder branch of the CNN, a plurality of initial n+1-dimensional features maps representative of the inputted perfusion sequence at different scales, n≥3, said CNN further comprising a decoder branch and skip connections between the encoder branch and the decoder branch, each skip connection projecting the initial n+1-dimensional features maps into initial n-dimensional feature maps;
    (c) generating, using said decoder branch of the CNN, a plurality of enriched n-dimensional feature maps also representative of representative of the inputted perfusion sequence at different scales, each enriched n-dimensional feature map incorporating the information from the initial n-dimensional feature maps of smaller or equal scale;
    (d) generating at least one quantitative map of the inputted perfusion sequence from the largest-scale enriched n-dimensional feature maps.