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Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities
To achieve domain adaptation, we construct a noise-image denoising generated image data set and train a reward model predict human feedback.
Automatic Three-Dimensional Cephalometric Annotation System Using Three-Dimensional Convolutional Neural Networks
The purpose of this study was to evaluate the accuracy of our newly-developed system using a deep learning algorithm for automatic 3D cephalometric annotation.
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