Carol L. Novak,Benjamin L. Odry,Atilla Peter Kiraly,Jiancong Wang
申请号：
US15872304
公开号：
US20190220701A1
申请日:
2018.01.16
申请国别(地区):
US
年份:
2019
代理人:
摘要：
A generative network is used for lung lobe segmentation or lung fissure localization, or for training a machine network for lobar segmentation or localization. For segmentation, deep learning is used to better deal with a sparse sampling of training data. To increase the amount of training data available, an image-to-image or generative network localizes fissures in at least some of the samples. The deep-learnt network, fissure localization, or other segmentation may benefit from generative localization of fissures.
