Study on Feasibility for Artificial Intelligence (AI) Noise Reduction Algorithm with Various Parameters in Pediatric Abdominal Radio-Magnetic Computed Tomography (CT)-Reference-Cited by-同舟云学术

Study on Feasibility for Artificial Intelligence (AI) Noise Reduction Algorithm with Various Parameters in Pediatric Abdominal Radio-Magnetic Computed Tomography (CT)

Published:2017-12-31 Issue:4 Volume:22 Page:570-578
ISSN:1226-1750
Container-title:Journal of Magnetics
language:en
Short-container-title:JMAG

Author:

Kim Seung Hun,Seo Kanghyen,Kang Seong-Hyeon,Bae Seyoung,Kwak Hyeng Ju,Hong Ji Woo,Hwang Yoonji,Kang Sung Mo,Choi Hye Ran,Kim Ga Yun,Lee Youngjin

Publisher

The Korean Magnetics Society

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

http://tkms.allforone21.com/tkms/images/pdf/E1MGAB/E1MGAB_2017_v22n4_570.pdf

Cited by 6 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

1. Potential Application of Non-Invasive Optical Imaging Methods in Orthodontic Diagnosis;Journal of Clinical Medicine;2024-02-08

2. Artificial Intelligence for Radiation Dose Optimization in Pediatric Radiology: A Systematic Review;Children;2022-07-14

3. Feasibility of Total Variation Noise Reduction Algorithm According to Various MR-Based PET Images in a Simultaneous PET/MR System: A Phantom Study;Diagnostics;2021-02-16

4. Fast non-local means noise reduction algorithm with acceleration function for improvement of image quality in gamma camera system: A phantom study;Nuclear Engineering and Technology;2019-06

5. Preliminary study of total variation noise reduction algorithm with high-energy industrial X-ray imaging system in nondestructive testing field;Results in Physics;2018-09