A Study on Virtual Tooth Image Generation Using Deep Learning - Based on the number of learning
Author:
Affiliation:
1. Dept. of Mechanical Robotics and Energy Engineering, Dongguk University
2. Dept. of Computer Science & Engineering, Kongju University
3. Dept. of Computer Science & Engineering, Dongguk University
Publisher
Korean Academy of Dental Technology
Link
http://pdf.medrang.co.kr/JTD/2020/042/jtd-42-1-1.pdf
Reference27 articles.
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1. Generation of virtual mandibular first molar teeth and accuracy analysis using deep convolutional generative adversarial network;Journal of Korean Acedemy of Dental Technology;2024-06-30
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3. Real-time Tooth Region Detection in Intraoral Scanner Images with Deep Learning;Journal of Society of Korea Industrial and Systems Engineering;2023-09-30
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