The potential for clinical application of automatic quantification of olfactory bulb volume in MRI scans using convolutional neural networks

The potential for clinical application of automatic quantification of olfactory bulb volume in MRI scans using convolutional neural networks

The olfactory bulbs (OBs) play a key role in olfactory processing; their volume is important for diagnosis, prognosis and treatment of patients with olfactory loss. Until now, measurements of OB volumes have been limited to quantification of manually segmented OBs, which is a cumbersome task and mak...

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Bibliographic Details
Main Authors: Elbrich M. Postma, Julia M.H. Noothout, Wilbert M. Boek, Akshita Joshi, Theresa Herrmann, Thomas Hummel, Paul A.M. Smeets, Ivana Išgum, Sanne Boesveldt
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:NeuroImage: Clinical
Subjects:
Olfactory loss
Deep learning
Convolutional neural networks
Segmentation
Olfactory bulb volume
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158223001006

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http://www.sciencedirect.com/science/article/pii/S2213158223001006

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