Panoramic Radiograph Generation and Image Reconstruction from Latent Vectors Using a Generative Adversarial Network

被引：0

作者：

Kokomoto, Kazuma ^{[1
]}

Okawa, Rena ^{[2
]}

Nakano, Kazuhiko ^{[2
]}

Nozaki, Kazunori ^{[1
]}

机构：

[1] Osaka Univ, Div Med Informat, Dent Hosp, Osaka, Japan

[2] Osaka Univ, Dept Pediat Dent, Grad Sch Dent, Osaka, Japan

来源：

MEDINFO 2023 - THE FUTURE IS ACCESSIBLE | 2024年 / 310卷

关键词：

Generative adversarial network; anonymization; deep learning; dentistry;

D O I：

10.3233/SHTI231263

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, StyleGAN2 was trained with panoramic radiographs, and original images were projected into the latent space of StyleGAN2. The resulting latent vectors were input into StyleGAN2, and corresponding images were generated to reconstruct the original images. The original and reconstructed images were evaluated by pediatric dentists and found to be similar. Our results suggest that StyleGAN2 could be applied to the anonymization and data compression of medical images.

引用

页码：1499 / 1500

页数：2

共 50 条

[41] Underwater Image Deblurring Framework Using A Generative Adversarial Network
Li, Tengyue
Rong, Shenghui
He, Bo
Chen, Long
OCEANS 2022, 2022,
[42] Sample generation based on residual generative adversarial network
Wang X.
Du W.
Chen J.
Chen H.-T.
Kongzhi yu Juece/Control and Decision, 2020, 35 (08): : 1887 - 1894
[43] Land Clutter Data Generation Using Generative Adversarial Network
Dang, Xunwang
Chen, Yong
Wang, Chao
Yin, Hongcheng
Xu, Honglei
2020 IEEE MTT-S INTERNATIONAL CONFERENCE ON NUMERICAL ELECTROMAGNETIC AND MULTIPHYSICS MODELING AND OPTIMIZATION (NEMO 2020), 2020,
[44] Image super-resolution reconstruction based on improved generative adversarial network
Wang Y.-L.
Li X.-J.
Ma H.-B.
Ding Q.
Pirouz M.
Ma Q.-T.
Journal of Network Intelligence, 2021, 6 (02): : 155 - 163
[45] Unpaired medical image colorization using generative adversarial network
Yihuai Liang
Dongho Lee
Yan Li
Byeong-Seok Shin
Multimedia Tools and Applications, 2022, 81 : 26669 - 26683
[46] Infrared and visible image fusion based on WEMD and generative adversarial network reconstruction
Yang Y.
Gao X.
Dang J.
Wang Y.
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2022, 30 (03): : 320 - 330
[47] Single Image Haze Removal using a Generative Adversarial Network
Raj, Bharath N.
Venketeswaran, N.
2020 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS SIGNAL PROCESSING AND NETWORKING (WISPNET), 2020, : 37 - 42
[48] Underwater image enhancement using a mixed generative adversarial network
Mu, Delang
Li, Heng
Liu, Hui
Dong, Ling
Zhang, Guoyin
IET IMAGE PROCESSING, 2023, 17 (04) : 1149 - 1160
[49] Image Super-resolution Reconstruction Based on an Improved Generative Adversarial Network
Liu, Han
Wang, Fan
Liu, Lijun
2019 1ST INTERNATIONAL CONFERENCE ON INDUSTRIAL ARTIFICIAL INTELLIGENCE (IAI 2019), 2019,
[50] Ultrasound Image Beamforming Optimization Using a Generative Adversarial Network
Seoni, Silvia
Salvi, Massimo
Matrone, Giulia
Meiburger, Kristen M.
2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS), 2022,

← 1 2 3 4 5 →