Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation

IEEE transactions on medical imaging, pp. 1-1, 2020.

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Active learning is a unique abstraction of machine learning techniques where the model/algorithm could guide users for annotation of a set of data points that would be beneficial to the model, unlike passive machine learning. The primary advantage being that active learning frameworks select data points that can accelerate the learning pr...更多

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