Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Computed Tomography01:10

Computed Tomography

7.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.6K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

893
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
893

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Imaging Findings of Thoracic Extranodal Lymphoma: A Pictorial Essay.

Journal of the Korean Society of Radiology·2025
Same author

Antibacterial activity and physicochemical properties of light-curable fluoride varnishes containing strontium phosphate-based glass.

Clinical oral investigations·2025
Same author

Loop-mediated isothermal amplification polymerase chain reaction in place of a modified Knott test in screening dogs for heartworm (Dirofilaria immitis) infection combined with antigen detection test.

American journal of veterinary research·2024
Same author

CT and MRI Findings of Low-Flow Mediastinal Vascular Malformation: A Case Report.

Journal of the Korean Society of Radiology·2024
Same author

Accuracy of zirconia crown manufactured using stereolithography and digital light processing.

Journal of dentistry·2024
Same author

Evaluation of factors influencing survival time in 77 dogs with lymphoma.

Open veterinary journal·2023

相关实验视频

Updated: May 4, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.7K

关于使用CF填充和Pix2pix进行数据增强的虚拟牙图像生成的研究.

Soo-Yeon Jeong1, Eun-Jeong Bae2, Hyun Soo Jang3

  • 1Division of Software Engineering, Pai Chai University, Daejeon, 35345, Republic of Korea.

Scientific reports
|November 5, 2024
PubMed
概括

使用人工智能生成虚拟牙图像可以简化牙假肢工作流程. 结合真实和人工智能生成的图像来训练深度学习模型显著提高了性能,接近仅使用真实患者数据的结果.

关键词:
在CR-Fill中填写.数据增强数据增强形成的对抗网络 (GAN)在painting 中的图像.皮克斯2皮克斯2皮克斯

更多相关视频

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

1.0K
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

774

相关实验视频

Last Updated: May 4, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.7K
Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

1.0K
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

774

科学领域:

  • 人工智能在牙科中的应用
  • 数字牙科数字牙科
  • 医疗成像医学成像

背景情况:

  • 传统的牙假体是劳动密集型和耗时的.
  • 深度学习模型可以自动化牙科假体过程,但需要大量的训练数据.
  • 由于患者隐私问题,研究中使用真实牙图像受到限制.

研究的目的:

  • 为训练人工智能模型开发一种生成现实的虚拟牙图像的方法.
  • 为了应对对真实患者牙科数据的有限访问的挑战.

主要方法:

  • 使用图像对图像翻译 (pix2pix) 来生成各种虚拟牙图像.
  • 使用上下文重建填充 (CR-Fill) 来完善虚拟图像并确保解剖学准确性.
  • 对比了在真实图像,虚拟图像和两者的组合上训练的深度学习模型的性能.

主要成果:

  • 拟议的方法成功生成了虚拟牙图像,视觉上与真实口腔内扫描相似.
  • 仅在虚拟图像上训练的模型表现不佳.
  • 使用真实和虚拟图像组合的训练模型实现了与仅在真实图像上训练的模型相比的性能.

结论:

  • 人工智能驱动的虚拟牙科图像生成是克服研究数据限制的可行解决方案.
  • 混合训练数据集 (真实和虚拟图像) 为开发牙科假体中强大的AI模型提供了一个有希望的方法.
  • 这种方法可以加速AI在数字牙科的开发和采用.