专利检索 ap:("The United States of America, as represented by the Secretary Department of Health AND Human Service") AND inv:"Ronald M. Summers" 第 1 页

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发明申请
PROGRESSIVE AND MULTI-PATH HOLISTICALLY NESTED NETWORKS FOR SEGMENTATION 审中-公开

公开(公告)号：US20200184647A1

公开(公告)日：2020-06-11

申请号：US16620464

申请日：2018-06-08

申请人： The United States of America, as represented by the Secretary Department of Health and Human Service

发明人： Adam Patrick Harrison , Ziyue Xu , Le Lu , Ronald M. Summers , Daniel Joseph Mollura

IPC分类号： G06T7/00 , G06N3/04 , G06N3/08 , G16H30/40 , G16H50/50 , G06T7/174 , A61B6/00 , A61B6/03 , A61B5/00

摘要： Methods include processing image data through a plurality of network stages of a progressively holistically nested convolutional neural network, wherein the processing the image data includes producing a side output from a network stage m, of the network stages, where m>1, based on a progressive combination of an activation output from the network stage m and an activation output from a preceding stage m−1. Image segmentations are produced. Systems include a 3D imaging system operable to obtain 3D imaging data for a patient including a target anatomical body, and a computing system comprising a processor, memory, and software, the computing system operable to process the 3D imaging data through a plurality of progressively holistically nested convolutional neural network stages of a convolutional neural network.