Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

• Published in: Journal of magnetic resonance imaging Vol. 49; no. 4; pp. 939 - 954
• Main Authors: Mazurowski, Maciej A., Buda, Mateusz, Saha, Ashirbani, Bashir, Mustafa R.
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.04.2019
• Subjects: Algorithms; Artificial Intelligence; Artificial neural networks; convolutional neural networks; Data processing; Deep Learning; Diagnostic Tests, Routine; Human performance; Humans; Image Processing, Computer-Assisted; Learning algorithms; Machine Learning; Magnetic Resonance Imaging; Medical imaging; Neural networks; Neural Networks, Computer; Radiography; Radiology; Radiology - methods; deep learning; convolutional neural networks; machine learning; radiology; artificial intelligence; medical imaging

Deep learning is a branch of artificial intelligence where networks of simple interconnected units are used to extract patterns from data in order to solve complex problems. Deep‐learning algorithms have shown groundbreaking performance in a variety of sophisticated tasks, especially those related t...