Machine Learning Applications for Head and Neck Imaging.
Artificial intelligence
Autosegmentation
Classification
Convolutional neural network
Deep learning
Head and neck cancer
Head and neck imaging
Machine learning
Journal
Neuroimaging clinics of North America
ISSN: 1557-9867
Titre abrégé: Neuroimaging Clin N Am
Pays: United States
ID NLM: 9211377
Informations de publication
Date de publication:
Nov 2020
Nov 2020
Historique:
entrez:
11
10
2020
pubmed:
12
10
2020
medline:
12
8
2021
Statut:
ppublish
Résumé
The head and neck (HN) consists of a large number of vital anatomic structures within a compact area. Imaging plays a central role in the diagnosis and management of major disorders affecting the HN. This article reviews the recent applications of machine learning (ML) in HN imaging with a focus on deep learning approaches. It categorizes ML applications in HN imaging into deep learning and traditional ML applications and provides examples of each category. It also discusses the main challenges facing the successful deployment of ML-based applications in the clinical setting and provides suggestions for addressing these challenges.
Identifiants
pubmed: 33039001
pii: S1052-5149(20)30058-7
doi: 10.1016/j.nic.2020.08.003
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
517-529Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.