Understanding artificial intelligence based radiology studies: CNN architecture.
Publication/Presentation Date
12-1-2021
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.
Volume
80
First Page
72
Last Page
76
ISSN
1873-4499
Published In/Presented At
Mutasa, S., Sun, S., & Ha, R. (2021). Understanding artificial intelligence based radiology studies: CNN architecture. Clinical imaging, 80, 72–76. https://doi.org/10.1016/j.clinimag.2021.06.033
Disciplines
Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology
PubMedID
34256218
Department(s)
Department of Radiology and Diagnostic Medical Imaging
Document Type
Article