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Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review
284
Zitationen
11
Autoren
2019
Jahr
Abstract
Our study highlights the scarcity of research in training set size determination methodologies applied to ML in medical imaging, emphasizes the need to standardize current reporting practices, and guides future work in development and streamlining of pre hoc and post hoc sample size approaches.
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