Semi-Supervised Medical Image Classification Based on Sample Intrinsic Similarity Using Canonical Correlation Analysis
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Abstract
Large amounts of labeled data are usually needed for training deep neural networks in medical image studies, particularly in medical image classification. However, in the field of semi-supervised medical image analysis, label... | Find, read and cite all the research you need on Tech Science Press
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OpenAlex topics: Remote Sensing and Land Use · Face and Expression Recognition · Advanced Computing and Algorithms
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