Published July 29, 2026
| Version v1
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Tumor Growth Modelling with PDEs and Neural Networks - Efficient Modelisation for Complex Geometries of Tumor Growth via Thermo-Elastic Diffusion Partial Differential Equations and Artificial Neural Networks
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Description
Interactive semantic map of thermo-elastic diffusion equations, boundary-value modelling, Laplace Neural Operators, Fourier approximation, artificial neural networks, validation against analytical solutions, and applications in radiotherapy prognosis.
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Tumor Growth Modelling with PDEs and Neural Networks.png
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(687.0 kB)
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md5:67f4789d9fbe276a4a4a651d4b3dee4c
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Additional details
Software
- Repository URL
- https://brain.edusoft.ro/graphs/1678/
- Programming language
- HTML , CSS , JavaScript