Jan 17, 2022 · We propose a site-agnostic, three-dimensional dose distribution prediction model using deep learning that can leverage data from any treatment ...
We developed a site-agnostic model for three-dimensional dose prediction and tested its adaptability to a new target treatment site via transfer learning.
Jun 15, 2021 · We propose a site-agnostic, 3D dose distribution prediction model using deep learning that can leverage data from any treatment site, thus ...
Jan 17, 2022 · In this study, instead of a simple functional parametrization, an artificial neural network was incorporated into the KBP method to improve the ...
Jun 15, 2021 · A site-agnostic, three dimensional dose distribution prediction model using deep learning that can leverage data from any treatment site, ...
In this study, we analyze the impact that variations in physician style have on dose to organs-at-risk(OAR) by simulating the clinical workflow via deep ...
Sep 26, 2023 · More recently, deep learning (DL) has been investigated for automated treatment planning by using convolutional neural networks (CNNs) that ...
We propose to use Monte Carlo dropout (MCDO) and the bootstrap aggregation (bagging) technique on deep learning models to produce uncertainty estimations for ...
A review of dose prediction methods for tumor radiation therapy
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Site-agnostic 3d dose distribution prediction with deep learning neural networks ... 3d vmat dose distributions using deep convolutional neural network.
We propose a site-agnostic, 3D dose distribution prediction model using deep learning that can leverage data from any treatment site, thus increasing the total ...