Hierarchical learning of weights of a neural network for performing multiple analyses

US11328412B2 · kind B2 · utility

Assignee

• Siemens Healthcare Limited · DE

Inventors

• Shaohua Kevin Zhou · Plainsboro, US
• Mingqing Chen · Plainsboro, US
• Daguang Xu · Princeton, US
• Zhoubing Xu · Plainsboro, US
• Shun Miao · Plainsboro, US
• Dong Yang · Somerville, US
• He Zhang · San Jose, US

Key dates

• Filing date: Jan 9, 2018
• Grant date: May 10, 2022
• Expiry date: May 20, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/20084
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.