Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks

标题
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks
作者
关键词
Ischemic stroke lesion, Computed tomography perfusion, Image synthesis, Segmentation, Deep learning
出版物
MEDICAL IMAGE ANALYSIS
Volume 65, Issue -, Pages 101787
出版商
Elsevier BV
发表日期
2020-07-18
DOI
10.1016/j.media.2020.101787

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now