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by nicoco
517 days ago
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Scaling data is not always possible. It's really hard to get your hands on good labelled medical imaging data, for instance. Maybe it makes sense to try to incorporate insights from biology and physiological instead of hoping that the neural net will "get it" from seeing enough data. |
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For medical imaging your solver is most likely "physics based" in any case. PINNs want to encode the physics inside a neural network, instead of developing an appropriate algorithm (which obviously has to also incorporate the physics) which solves the problem and which can be analyzed mathematically.