| Literature DB >> 34256218 |
Simukayi Mutasa1, Shawn Sun2, Richard Ha3.
Abstract
Artificial intelligence (AI) in radiology has gained wide interest due to the development of neural network architectures with high performance in computer vision related tasks. As AI based software programs become more integrated into the clinical workflow, radiologists can benefit from better understanding the principles of artificial intelligence. This series aims to explain basic concepts of AI and its applications in medical imaging. In this article, we will review the background of neural network architecture and its application in imaging analysis.Keywords: Artificial intelligence; CNN architecture; Deep learning
Year: 2021 PMID: 34256218 DOI: 10.1016/j.clinimag.2021.06.033
Source DB: PubMed Journal: Clin Imaging ISSN: 0899-7071 Impact factor: 1.605