Presents and compares U-Net and DenseU-Net models for fully automatic tongue-contour segmentation in ultrasound images, reporting comparable accuracy with differences in speed and cross-dataset generalization.
Densely connected convolutional networks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2019 2representative citing papers
Modifying capsule networks to use dynamic routing for intermediate equivariant features instead of output class capsules yields faster training and higher accuracy on multi-class problems.
citing papers explorer
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A CNN-based tool for automatic tongue contour tracking in ultrasound images
Presents and compares U-Net and DenseU-Net models for fully automatic tongue-contour segmentation in ultrasound images, reporting comparable accuracy with differences in speed and cross-dataset generalization.
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Using dynamic routing to extract intermediate features for developing scalable capsule networks
Modifying capsule networks to use dynamic routing for intermediate equivariant features instead of output class capsules yields faster training and higher accuracy on multi-class problems.