Apparatus and method for avoiding region of interest re-detection

    公开(公告)号:US10186030B2

    公开(公告)日:2019-01-22

    申请号:US14934852

    申请日:2015-11-06

    Inventor: Hyoung Min Park

    Abstract: According to an aspect of an exemplary embodiment, an apparatus for avoiding region of interest (ROI) re-detection includes a detector configured to detect an ROI from an input medical image; a re-detection determiner configured to determine whether the detected ROI corresponds to a previously-detected ROI using pre-stored user determination information; and an ROI processor configured to perform a process for the detected ROI based on the determination.

    Convolution neural network training apparatus and method thereof

    公开(公告)号:US10452979B2

    公开(公告)日:2019-10-22

    申请号:US14960942

    申请日:2015-12-07

    Inventor: Hyoung Min Park

    Abstract: An apparatus and method of training a convolutional neural network (CNN) are provided. A method of training a CNN including a plurality of convolution layers stored in a memory involves approximating, using a processor, a convolution layer among the plurality of convolution layers using a low-rank approximation; reducing the number of output reconstruction filters of the approximated convolution layer; and modifying a structure of the CNN based on an approximation result and the reduced number of output reconstruction filters.

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