Understanding artificial intelligence based radiology studies: CNN architecture.

Authors

Simukayi Mutasa MD, Lehigh Valley Health NetworkFollow
Shawn Sun
Richard Ha

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