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e4b9a7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | # MONAI
* **apps**: high level medical domain specific deep learning applications.
* **config**: for system configuration and diagnostic output.
* **data**: for the datasets, readers/writers, and synthetic data
* **engines**: engine-derived classes for extending Ignite behaviour.
* **handlers**: defines handlers for implementing functionality at various stages in the training process.
* **inferers**: defines model inference methods.
* **losses**: classes defining loss functions.
* **metrics**: defines metric tracking types.
* **networks**: contains network definitions, component definitions, and Pytorch specific utilities.
* **transforms**: defines data transforms for preprocessing and postprocessing.
* **utils**: generic utilities intended to be implemented in pure Python or using Numpy,
and not with Pytorch, such as namespace aliasing, auto module loading.
* **visualize**: utilities for data visualization. |