Pascal Ceccaldi,Xiao Chen,Boris Mailhe,Benjamin L. Odry,Mariappan S. Nadar
申请号：
US16251242
公开号：
US20190287292A1
申请日:
2019.01.18
申请国别(地区):
US
年份:
2019
代理人:
摘要：
Systems and methods are provided for generating segmented output from input regardless of the resolution of the input. A single trained network is used to provide segmentation for an input regardless of a resolution of the input. The network is recursively trained to learn over large variations in the input data including variations in resolution. During training, the network refines its prediction iteratively in order to produce a fast and accurate segmentation that is robust across resolution differences that are produced by MR protocol variations.
