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Each CNN was developed in training, validation, and testing processes.
Also, all subsets of this database were randomly partitioned into training, validation, and testing sets.
Further model validation and testing on field measurements are also needed.
When retraining the neural network, a portion of the images is automatically kept aside by the algorithm for validation and testing.
However, still the emphasis is rather on system design and development and not on system validation and testing.
A major factor contributing to this loss is ineffective performance of software and systems Verification, Validation and Testing (VVT).
Concepts in learning model parameters are introduced, as well as model validation and testing.
The data consists of the 4-view screening mammograms on over 5000 women, with divisions for training, validation, and testing.
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The total fifty-four data sets were divided into three groups: training, cross-validation, and testing.
The developed model showed high predictions during training, cross-validation and testing.
Cross-validation and testing metrics for these three models are summarized in Table 1.
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