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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...

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Principais autores: Soo-Yeon Jeong, Eun-Jeong Bae, Hyun Soo Jang, SeongJu Na, Sun-Young Ihm
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2024-11-01
Serier:Scientific Reports
Fag:
Data augmentation
GAN (generative adversarial network)
Image inpainting
CR-Fill
Pix2pix
Online adgang:https://doi.org/10.1038/s41598-024-78190-z
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