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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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Soo-Yeon Jeong, Eun-Jeong Bae, Hyun Soo Jang, SeongJu Na, Sun-Young Ihm
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-11-01
Subjects:	Data augmentation GAN (generative adversarial network) Image inpainting CR-Fill Pix2pix
Online Access:	https://doi.org/10.1038/s41598-024-78190-z