CNS Machine Learning
Part Of
Functional Neuroradiology: Principles and Clinical Applications
Start Page
1347
End Page
1375
ISBN (of the container)
9783031109096
9783031109089
ISBN
9783031109089
9783031109096
Date Issued
2023-01-01
Author(s)
Tong, Elizabeth
Grøvik, Endre
Emblem, Kyrre Eeg
Fan, Audrey
Yu, Yannan
Zhu, Guangming
Zhao, Moss
Niri, Sanaz
Zaharchuk, Greg
Abstract
Artificial intelligence (AI) is a field that designs computer systems to perform tasks that mimic human intelligence. Machine learning (ML) is subtype of AI whereby learning is attained by training and makes decisions from the data. AI is rapidly transforming radiology. This chapter provides a brief overview of the basic concepts and common methods in ML, followed by a small sampling of potential applications in neuroradiology.
Subjects
Artificial intelligence
Autoencoders
Classification
Convolutional neural network
Deep learning
Detection
Improve image quality
Machine learning
Neural networks
Neuroradiology
Prediction
Segmentation
Supervised learning
UNET
Publisher
Springer International Publishing
Type
book part