clinicadl.models¶
For defining models, which encompass neural networks, loss functions, optimizers, and the training and evaluation logic.
The base model from which every model that works with |
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A vanilla supervised model, for usual classification, regression, or segmentation task. |
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A vanilla reconstruction model, to work with simple AutoEncoders like |