By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Data Dimensionality Reduction Using a Neural Autoencoder with C#. ... Common use-cases include data visualization in a 2D graph ... states, loosely speaking, that a neural network with a single hidden ...

That said, applying a neural autoencoder anomaly detection system to tabular data is typically the best way to start. A limitation of the autoencoder architecture presented in this article is that it ...