Understanding artificial intelligence based radiology studies: CNN architecture
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Updated: Oct 29, 2025

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Published on: February 23, 2024
Simukayi Mutasa1, Shawn Sun2, Richard Ha3
1Department of Radiology, 622 West 168th Street, PB-1-301, New York, NY 10032, United States of America.
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.
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