Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging-Reference-Cited by-同舟云学术

Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging

Published:2019-07-26 Issue:9 Volume:46 Page:3788-3798
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Fu Jie¹²,Yang Yingli²,Singhrao Kamal¹²,Ruan Dan²,Chu Fang‐I²,Low Daniel A.²,Lewis John H.²

Affiliation:

1. David Geffen School of Medicine University of California, Los Angeles 10833 Le Conte Ave Los Angeles90095CA USA

2. Department of Radiation Oncology University of California, Los Angeles 200 Suite B265, Medical Plaza Driveway Los Angeles90095CA USA

Funder

Varian Medical Systems

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13672

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