Open AccessA comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks
Author(s) -
Dan Nguyen,
Azar Sadeghnejad Barkousaraie,
Gyanendra Bohara,
Anjali Balagopal,
Rafe McBeth,
MuHan Lin,
Steve Jiang
Publication year - 2021
Publication title -
physics in medicine and biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.312
H-Index - 191
eISSN - 1361-6560
pISSN - 0031-9155
DOI - 10.1088/1361-6560/abe04f
Subject(s) - dropout (neural networks) , monte carlo method , artificial neural network , computer science , estimation , artificial intelligence , statistics , econometrics , statistical physics , machine learning , mathematics , physics , management , economics
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