Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo

标题
Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo
作者
关键词
Photoacoustic imaging, Deep learning, Image reconstruction
出版物
Photoacoustics
Volume 20, Issue -, Pages 100197
出版商
Elsevier BV
发表日期
2020-06-20
DOI
10.1016/j.pacs.2020.100197

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