Machine Learning and Deep Neural Network Applications in the Thorax: Pulmonary Embolism, Chronic Thromboembolic Pulmonary Hypertension, Aorta, and Chronic Obstructive Pulmonary Disease.
Aorta
/ diagnostic imaging
Aortic Aneurysm
/ diagnostic imaging
Chronic Disease
Humans
Hypertension, Pulmonary
/ diagnostic imaging
Machine Learning
Neural Networks, Computer
Pulmonary Disease, Chronic Obstructive
/ diagnostic imaging
Pulmonary Embolism
/ diagnostic imaging
Radiographic Image Interpretation, Computer-Assisted
/ methods
Tomography, X-Ray Computed
/ methods
Journal
Journal of thoracic imaging
ISSN: 1536-0237
Titre abrégé: J Thorac Imaging
Pays: United States
ID NLM: 8606160
Informations de publication
Date de publication:
May 2020
May 2020
Historique:
pubmed:
10
4
2020
medline:
9
2
2021
entrez:
10
4
2020
Statut:
ppublish
Résumé
The radiologic community is rapidly integrating a revolution that has not fully entered daily practice. It necessitates a close collaboration between computer scientists and radiologists to move from concepts to practical applications. This article reviews the current littérature on machine learning and deep neural network applications in the field of pulmonary embolism, chronic thromboembolic pulmonary hypertension, aorta, and chronic obstructive pulmonary disease.
Identifiants
pubmed: 32271281
doi: 10.1097/RTI.0000000000000492
pii: 00005382-202005001-00008
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
S40-S48Références
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