Study on virtual tooth image generation utilizing CF-fill and Pix2pix for data augmentation

Abstract Traditional dental prosthetics require a significant amount of work, labor, and time. To simplify the process, a method to convert teeth scan images, scanned using an intraoral scanner, into 3D images for design was developed. Furthermore, several studies have used deep learning to automate...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Scientific Reports
المؤلفون الرئيسيون: Soo-Yeon Jeong, Eun-Jeong Bae, Hyun Soo Jang, SeongJu Na, Sun-Young Ihm
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Nature Portfolio 2024-11-01
الموضوعات:
Data augmentation
GAN (generative adversarial network)
Image inpainting
CR-Fill
Pix2pix
الوصول للمادة أونلاين:https://doi.org/10.1038/s41598-024-78190-z

الانترنت

https://doi.org/10.1038/s41598-024-78190-z

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