Invention Grant
- Patent Title: Hierarchical learning of weights of a neural network for performing multiple analyses
-
Application No.: US15865581Application Date: 2018-01-09
-
Publication No.: US11328412B2Publication Date: 2022-05-10
- Inventor: Shaohua Kevin Zhou , Mingqing Chen , Daguang Xu , Zhoubing Xu , Shun Miao , Dong Yang , He Zhang
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G06T7/10 ; G06N3/04

Abstract:
Systems and methods are provided for performing medical imaging analysis. Input medical imaging data is received for performing a particular one of a plurality of medical imaging analyses. An output that provides a result of the particular medical imaging analysis on the input medical imaging data is generated using a neural network trained to perform the plurality of medical imaging analyses. The neural network is trained by learning one or more weights associated with the particular medical imaging analysis using one or more weights associated with a different one of the plurality of medical imaging analyses. The generated output is outputted for performing the particular medical imaging analysis.
Public/Granted literature
- US20180225822A1 Hierarchical Learning of Weights of a Neural Network for Performing Multiple Analyses Public/Granted day:2018-08-09
Information query