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API
Basic Key tools of MONAI Label:
MONAI Label App
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Active Learning: Currently, MONAI Label offers all the necessary callbacks needed to implement active learning techniques. However, for version 0.1, MONAI Label Apps used the simplest random sampling technique to fetch the next image. More info can be found in the Active Learning Section
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Inference: This interface (class) allows the developer to use or define the inference task in the MONAI Label App. This means, all the inference transforms, types of inferrers (i.e. simple inferrer, sliding window inferrer, etc) and post transforms.
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Training: This interface (class) allows the developer to use or redefine the training task for their own MONAI Label App
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Custom transforms: In this file developers can create their custom transforms to apply on the dataset before, after, or during training the AI algorithm.
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Main file: In this file developers can instantiate the App class/interface to create their own MONAI Label App
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Info file: In this YAML file users can specify the different hyperparameters needed in the MONAI Label App
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Custom requirements file: Custom requirements for the MONAI Label App