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significant proportion » significant reduction (Expand Search)
proportion decrease » proportional decrease (Expand Search), proportion increases (Expand Search)
significant inter » significant interest (Expand Search), significant inverse (Expand Search), significant anti (Expand Search)
inter decreases » water decreases (Expand Search)
significant proportion » significant reduction (Expand Search)
proportion decrease » proportional decrease (Expand Search), proportion increases (Expand Search)
significant inter » significant interest (Expand Search), significant inverse (Expand Search), significant anti (Expand Search)
inter decreases » water decreases (Expand Search)
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MIT dataset expansion quantities and Proportions.
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. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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MIT-BIH dataset proportion analysis chart.
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. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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MIT-BIH expanded dataset proportion chart.
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. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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Box plot displaying the distributions of the deconvolution derived proportions of cell types.
Published 2024Subjects: -
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Inter-operator reliability<sup>b'*'</sup>.
Published 2024“…The coefficient of variance significantly decreased with increasing knee flexion (2.27% at 0°, 1.65% at 45° and 1.20% at 90°, p<0.001). …”
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Spearman correlation of age with proportions of cell types in men, for each brain region.
Published 2024Subjects: -
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