A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
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%0 Journal Article
%1 journals/corr/abs-2004-13294
%A Balagopal, Anjali
%A Nguyen, Dan
%A Morgan, Howard E.
%A Weng, Yaochung
%A Dohopolski, Michael
%A Lin, Mu-Han
%A Sadeghnejad-Barkousaraie, Azar
%A Gonzalez, Yesenia
%A Garant, Aurelie
%A Desai, Neil
%A Hannan, Raquibul
%A Jiang, Steve B.
%D 2020
%J CoRR
%K dblp
%T A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
%U http://dblp.uni-trier.de/db/journals/corr/corr2004.html#abs-2004-13294
%V abs/2004.13294
@article{journals/corr/abs-2004-13294,
added-at = {2021-07-30T00:00:00.000+0200},
author = {Balagopal, Anjali and Nguyen, Dan and Morgan, Howard E. and Weng, Yaochung and Dohopolski, Michael and Lin, Mu-Han and Sadeghnejad-Barkousaraie, Azar and Gonzalez, Yesenia and Garant, Aurelie and Desai, Neil and Hannan, Raquibul and Jiang, Steve B.},
biburl = {https://www.bibsonomy.org/bibtex/27a892ca4ac17995a84bfa480bc72e5c1/dblp},
ee = {https://arxiv.org/abs/2004.13294},
interhash = {04afbabc2130088fbc3b80e6362051b8},
intrahash = {7a892ca4ac17995a84bfa480bc72e5c1},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-09T00:28:25.000+0200},
title = {A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2004.html#abs-2004-13294},
volume = {abs/2004.13294},
year = 2020
}