Combination of Deep Learning–Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation-Reference-Cited by-同舟云学术

Combination of Deep Learning–Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation

Author:

Hata Akinori¹,Yanagawa Masahiro²,Yoshida Yuriko²,Miyata Tomo²,Tsubamoto Mitsuko¹,Honda Osamu³,Tomiyama Noriyuki²

Affiliation:

1. Department of Future Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.

2. Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaka, Japan.

3. Department of Radiology, Kansai Medical University, Osaka, Japan.

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

Reference28 articles.

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Early Detection and Interception of Lung Cancer;Hematology/Oncology Clinics of North America;2024-08