Helical Artifact Reduction Method Using Image Segmentation With CNN Denoising Technique-Reference-Cited by-同舟云学术

Helical Artifact Reduction Method Using Image Segmentation With CNN Denoising Technique

Author:

Choi Seungwon¹^ORCID,Kim Byeongjoon²^ORCID,Park Chulkyu³,Park Jueon³,Kim Yousuk³^ORCID,Choi Sungil³,Baek Jongduk²^ORCID

Affiliation:

1. School of Integrated Technology, Yonsei Institute of Convergence Technology, Yonsei University, Incheon, South Korea

2. Department of Artificial Intelligence, College of Computing, Yonsei University, Seoul, South Korea

3. Research and Development Center, VATECH, Hwaseong-si, Gyeonggi-do, Republic of Korea

Funder

National Research Foundation of Korea

Korean Government through the Ministry of Science and ICT

Institute of Information and Communications Technology Planning and Evaluation

MSIT through the Artificial Intelligence Graduate School Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference33 articles.

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2. A Comprehensive Study on Medical Image Denoising using Convolutional Neural Networks;2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC);2023-12-07