Titlebook: Deep Learning and Medical Applications; Jin Keun Seo Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to

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https://doi.org/10.1007/978-3-658-15386-1n essential tool for almost all processes, including virtual treatment planning and on-screen simulation of surgical or dental treatment. Noting that the dental regions of 3D CT data do not have the level of resolution to be used directly for treatment, the jaw–tooth composite model, which accuratel

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https://doi.org/10.1007/978-3-658-15386-1uation, shadows, speckles, and so on. Medical imaging is experiencing a paradigm shift due to the remarkable and rapid advancement of deep learning technology, and ultrasound companies, including Samsung Medison, are making every effort to develop a new AI-based system for automated fetal ultrasound

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Deep Learning for Dental Cone-Beam Computed Tomography,e number of aged people with artificial prostheses and metallic implants is swiftly increasing with the rapidly aging population. Metallic objects present in the CBCT field of view produce streaking artifacts that highly degrade the reconstructed CT images, resulting in a loss of information on the

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