Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT

Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT

Automatic methods for feature extraction, volumetry, and morphometric analysis in clinical neuroscience typically operate on images obtained with magnetic resonance (MR) imaging equipment. Although CT scans are less expensive to acquire and more widely available than MR scans, their application is c...

Full description

Bibliographic Details
Main Authors: Meera Srikrishna, Joana B. Pereira, Rolf A. Heckemann, Giovanni Volpe, Danielle van Westen, Anna Zettergren, Silke Kern, Lars-Olof Wahlund, Eric Westman, Ingmar Skoog, Michael Schöll
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:NeuroImage
Subjects:
Brain image segmentation
computed tomography (CT)
Deep learning
Convolutional neural networks (CNN)
Online Access:http://www.sciencedirect.com/science/article/pii/S105381192100879X

Internet

http://www.sciencedirect.com/science/article/pii/S105381192100879X

Similar Items