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Chapters/Mainmatter/General/Discussion/Discussion.tex

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@@ -87,7 +87,7 @@ \subsection{Methodological contributions}
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In \cref{chap:prognosais} I developed the PrognosAIs toolbox.
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The goal of this toolbox was to allow researchers to focus on designing new deep learning architectures and quickly setting up experiments, while ensuring that the available computational resources are used as efficiently as possible.
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For example, PrognosAIs can automatically train deep learning networks on parallel GPUs and tunes the algorithm's training to the GPU's specific capabilities to reduce the memory footprint.
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The PrognosAIs toolbox is available at \url{https://github.com/Svdvoort/PrognosAIs}; the methods and trained model developed in \cref{chap:prognosais} are available at \url{https://github.com/Svdvoort/PrognosAIs_glioma}\footnote{This repository is currently closed and will be made available upon publication of the manuscript}.
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The PrognosAIs toolbox is available at \url{https://github.com/Svdvoort/PrognosAIs}; the methods and trained model developed in \cref{chap:prognosais} are available at \url{https://github.com/Svdvoort/PrognosAIs_glioma}.
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To train the models used in \cref{chap:DDS,chap:prognosais}, I made use of shared GPU resources.
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I set up an environment in which the GPU resources can be shared among multiple users, and the environment also ensured that experiments are repeatable by providing standardized software environments.
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It has been shown that adding these sequences in radiomics methods provides additional information and leads to a better performance \autocite{park2020radiomicspwi,kim2020diffusion}.
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Furthermore, the tissue properties derived from these scans are also (in principle) quantitative.
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In recent years these sequences have become more standard in clinical practice, and sufficiently large databases are now available to use for the training of new methods.
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More recent imaging sequences such as \gls{CEST} provide additional physiological data not present in \gls{PWI} and \gls{DWI}, however they are far from common in clinical practice.
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More recent imaging sequences such as \gls{CEST} provide additional physiological data not present in \gls{DWI} and \gls{PWI}, however they are far from common in clinical practice.
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