TMOD-09. GLIOBLASTOMA BIOPHYSICAL GROWTH ESTIMATION USING DEEP LEARNING-BASED REGRESSION

BACKGROUND: Glioblastomas are arguably the most aggressive, infiltrative, and heterogeneous adult brain tumor. Biophysical modeling of glioblastoma growth has shown its predictive value towards clinical endpoints, enabling more informed decision-making. However, the mathematically rigorous formulati...

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Podrobná bibliografie
Vydáno v:Neuro Oncol
Hlavní autoři: Pati, Sarthak, Sharma, Vaibhav, Aslam, Heena, Thakur, Siddhesh, Akbari, Hamed, Mang, Andreas, Subramanian, Shashank, Biros, George, Davatzikos, Christos, Bakas, Spyridon
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2020
Témata:
Tumor Models
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7650941/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noaa215.960
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