Search alternatives:
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
training sets » training set (Expand Search), training data (Expand Search), training loss (Expand Search)
sets decrease » sizes decrease (Expand Search), suvs decreased (Expand Search), mean decrease (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
training sets » training set (Expand Search), training data (Expand Search), training loss (Expand Search)
sets decrease » sizes decrease (Expand Search), suvs decreased (Expand Search), mean decrease (Expand Search)
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Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets.
Published 2025Subjects: -
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Classification model parameter settings.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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