Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning
Abstract Differentiating pseudoprogression from true tumor progression has become a significant challenge in follow-up of diffuse infiltrating gliomas, particularly high grade, which leads to a potential treatment delay for patients with early glioma recurrence. In this study, we proposed to use a m...
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Auteurs principaux: | Joonsang Lee, Nicholas Wang, Sevcan Turk, Shariq Mohammed, Remy Lobo, John Kim, Eric Liao, Sandra Camelo-Piragua, Michelle Kim, Larry Junck, Jayapalli Bapuraj, Ashok Srinivasan, Arvind Rao |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2020
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Sujets: | |
Accès en ligne: | https://doaj.org/article/e85fa579f6ac4d8b9c5da0ebcab2a767 |
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