A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica

The implementation of deep learning-based computer-aided diagnosis systems for the classification of mammogram images can help in improving the accuracy, reliability, and cost of diagnosing patients. However, training a deep learning model requires a considerable amount of labelled images, which can...

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